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All Journal Al-Kuttab : Jurnal Kajian Perpustakaan, informasi dan kearsipan Intellect : Indonesian Journal of Learning and Technological Innovation BALQIS: Journal of Business Innovation and Digital Marketing Open Access DRIVERset BALQIS: Journal of Business Innovation and Digital Marketing
Ritonga, Ihdi Syahputra
Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi
Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science

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Analisis data peminjaman perpustakaan untuk meningkatkan layanan dan efisiensi pengelolaan UPT Perpustakaan UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan Ritonga, Ihdi Syahputra
Al-Kuttab : Jurnal Kajian Perpustakaan, Informasi dan Kearsipan Vol 6, No 1 (2024): Al-Kuttab: Jurnal Kajian Perpustakaan, Informasi dan Kearsipan
Publisher : Universitas Islam Negeri Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/ktb.v6i1.10495

Abstract

This research was conducted to investigate how data analysts can be used to improve library services for librarians and visitors. In today's digital era, libraries are required to provide better and more efficient services to meet the needs of their users. Data analyst, as a science that utilizes technology to collect, analyze and utilize data, is considered to have great potential for use in libraries. This research was conducted using a quantitative approach. The data obtained from the catalog dataset library were then analyzed using relevant data analysis techniques, the authors conducted a literature review to gain a deeper understanding of how data analysts have been implemented in the library. The results of the analysis of the data, over the past 5 years, the average number of loans that came from alumni was 566 times. The Visit Trend data shows that there has been a gradual increase from the beginning of 2020 to May 2022, February 20th has the most visits with a total of 494 visits, followed by March and May. books with a high number of loans, such as "Research procedures a practical approach" and "Methods of Islamic studies". In order to comply with requests for permits and shorten waiting times, the number of sample books should be increased. Current library visits often increase, especially in September each year. This shows how important it is to prepare sufficient stock of books and ensure proper service availability during this period. Evaluate penalty policies, better reminders for loans, and efforts to reduce loan amounts that exceed the required time limit.
Digitalization Model for MSME Sales in Rural Areas: A Case Study of OpenCart Integration with Social Media Ihdi Syahputra; Desriana; Rani Kusniati
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 1 (2025): June 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Small businesses in Koto Balingka sub-district face major challenges in marketing and selling chip products, especially in the increasingly competitive digital market. The aim of this research is to create a promotional and sales strategy that integrates the OpenCart platform into social media to increase market reach and operational effectiveness. Interviews with local businesses were used to collect data. View sales and conventional procedures reducing the need for business digitalization. The OpenCart system was chosen for its moment, ease of use, and integration with various social media platforms such as Facebook and Instagram. Business owners can manage product catalogues, orders, and promotions quickly with this integration. Implementation results show that promotional effectiveness and consumer affordability have increased. Digital marketing methods, which include the implementation of paid advertising and interactive content, succeeded in increasing online store visits by up to forty percent in the first three months of implementation. This study found that combining the OpenCart platform with social media platforms could be a useful model for building small businesses in rural areas. This system not only helps business owners, but also offers opportunities for collaboration with new business partners. Additional research should look at how implementing these systems impacts the profitability of small businesses in various industries.   Pelaku usaha kecil di kecamatan Koto Balingka menghadapi tantangan utama dalam pemasaran dan penjualan produk keripik, terutama di pasar digital yang menjadi lebih kompetitif. Tujuan dari studi ini adalah untuk membuat strategi promosi dan penjualan yang mengintegrasikan platform OpenCart ke media sosial untuk meningkatkan pasar jengkauan dan efektivitas operasional. Wawancara dengan bisnis lokal digunakan untuk mengumpulkan data. Lihat prosedur penjualan dan konvensional mengurangi kebutuhan digitalisasi bisnis. Sistem OpenCart dipilih karena momennya, kemudahan penggunaan, dan integrasinya dengan berbagai situs media sosial, termasuk Facebook dan Instagram. Pemilik usaha dapat mengelola katalog produk, pesanan, dan promosi secara singkat dengan integrasi ini. Hasil implementasi menunjukkan bahwa efektivitas promosi dan keterjangkauan konsumen meningkat. Metode pemasaran digital yang mencakup penerapan iklan berbayar dan konten interaktif, berhasil meningkatkan kunjungan toko online hingga empat puluh persen dalam tiga bulan pertama implementasi. Studi ini menemukan bahwa penggabungan platform OpenCart dengan platform media sosial dapat menjadi model yang berguna untuk membangun bisnis kecil di wilayah rarul. Sistem ini tidak hanya membantu pemilik usaha, tetapi juga menawarkan peluang untuk kaloborasi dengan mitra bisnis baru. Penelitian tambahan harus melihat bagaimana penerapan sistem ini berdampak pada profitabilitas usaha kecil di berbagai industri
Digitalization Model for MSME Sales in Rural Areas: A Case Study of OpenCart Integration with Social Media Ihdi Syahputra; Desriana; Rani Kusniati
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 1 (2025): June 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Small businesses in Koto Balingka sub-district face major challenges in marketing and selling chip products, especially in the increasingly competitive digital market. The aim of this research is to create a promotional and sales strategy that integrates the OpenCart platform into social media to increase market reach and operational effectiveness. Interviews with local businesses were used to collect data. View sales and conventional procedures reducing the need for business digitalization. The OpenCart system was chosen for its moment, ease of use, and integration with various social media platforms such as Facebook and Instagram. Business owners can manage product catalogues, orders, and promotions quickly with this integration. Implementation results show that promotional effectiveness and consumer affordability have increased. Digital marketing methods, which include the implementation of paid advertising and interactive content, succeeded in increasing online store visits by up to forty percent in the first three months of implementation. This study found that combining the OpenCart platform with social media platforms could be a useful model for building small businesses in rural areas. This system not only helps business owners, but also offers opportunities for collaboration with new business partners. Additional research should look at how implementing these systems impacts the profitability of small businesses in various industries.   Pelaku usaha kecil di kecamatan Koto Balingka menghadapi tantangan utama dalam pemasaran dan penjualan produk keripik, terutama di pasar digital yang menjadi lebih kompetitif. Tujuan dari studi ini adalah untuk membuat strategi promosi dan penjualan yang mengintegrasikan platform OpenCart ke media sosial untuk meningkatkan pasar jengkauan dan efektivitas operasional. Wawancara dengan bisnis lokal digunakan untuk mengumpulkan data. Lihat prosedur penjualan dan konvensional mengurangi kebutuhan digitalisasi bisnis. Sistem OpenCart dipilih karena momennya, kemudahan penggunaan, dan integrasinya dengan berbagai situs media sosial, termasuk Facebook dan Instagram. Pemilik usaha dapat mengelola katalog produk, pesanan, dan promosi secara singkat dengan integrasi ini. Hasil implementasi menunjukkan bahwa efektivitas promosi dan keterjangkauan konsumen meningkat. Metode pemasaran digital yang mencakup penerapan iklan berbayar dan konten interaktif, berhasil meningkatkan kunjungan toko online hingga empat puluh persen dalam tiga bulan pertama implementasi. Studi ini menemukan bahwa penggabungan platform OpenCart dengan platform media sosial dapat menjadi model yang berguna untuk membangun bisnis kecil di wilayah rarul. Sistem ini tidak hanya membantu pemilik usaha, tetapi juga menawarkan peluang untuk kaloborasi dengan mitra bisnis baru. Penelitian tambahan harus melihat bagaimana penerapan sistem ini berdampak pada profitabilitas usaha kecil di berbagai industri
Digitalization Model for MSME Sales in Rural Areas: A Case Study of OpenCart Integration with Social Media Ihdi Syahputra; Desriana; Rani Kusniati
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 1 (2025): June 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Small businesses in Koto Balingka sub-district face major challenges in marketing and selling chip products, especially in the increasingly competitive digital market. The aim of this research is to create a promotional and sales strategy that integrates the OpenCart platform into social media to increase market reach and operational effectiveness. Interviews with local businesses were used to collect data. View sales and conventional procedures reducing the need for business digitalization. The OpenCart system was chosen for its moment, ease of use, and integration with various social media platforms such as Facebook and Instagram. Business owners can manage product catalogues, orders, and promotions quickly with this integration. Implementation results show that promotional effectiveness and consumer affordability have increased. Digital marketing methods, which include the implementation of paid advertising and interactive content, succeeded in increasing online store visits by up to forty percent in the first three months of implementation. This study found that combining the OpenCart platform with social media platforms could be a useful model for building small businesses in rural areas. This system not only helps business owners, but also offers opportunities for collaboration with new business partners. Additional research should look at how implementing these systems impacts the profitability of small businesses in various industries.   Pelaku usaha kecil di kecamatan Koto Balingka menghadapi tantangan utama dalam pemasaran dan penjualan produk keripik, terutama di pasar digital yang menjadi lebih kompetitif. Tujuan dari studi ini adalah untuk membuat strategi promosi dan penjualan yang mengintegrasikan platform OpenCart ke media sosial untuk meningkatkan pasar jengkauan dan efektivitas operasional. Wawancara dengan bisnis lokal digunakan untuk mengumpulkan data. Lihat prosedur penjualan dan konvensional mengurangi kebutuhan digitalisasi bisnis. Sistem OpenCart dipilih karena momennya, kemudahan penggunaan, dan integrasinya dengan berbagai situs media sosial, termasuk Facebook dan Instagram. Pemilik usaha dapat mengelola katalog produk, pesanan, dan promosi secara singkat dengan integrasi ini. Hasil implementasi menunjukkan bahwa efektivitas promosi dan keterjangkauan konsumen meningkat. Metode pemasaran digital yang mencakup penerapan iklan berbayar dan konten interaktif, berhasil meningkatkan kunjungan toko online hingga empat puluh persen dalam tiga bulan pertama implementasi. Studi ini menemukan bahwa penggabungan platform OpenCart dengan platform media sosial dapat menjadi model yang berguna untuk membangun bisnis kecil di wilayah rarul. Sistem ini tidak hanya membantu pemilik usaha, tetapi juga menawarkan peluang untuk kaloborasi dengan mitra bisnis baru. Penelitian tambahan harus melihat bagaimana penerapan sistem ini berdampak pada profitabilitas usaha kecil di berbagai industri
Predicting Employment Status 6 Months After Graduation with Machine Learning Learning : A Comparative Study of 3,945 Indonesian Graduates Ritonga, Ihdi Syahputra; Zainal , Muhammad Rahfiqa; Zaki, Ahmad
Intellect : Indonesian Journal of Learning and Technological Innovation Vol. 4 No. 02 (2025): Intellect : Indonesian Journal of Learning and Technological Innovation
Publisher : Yayasan Lembaga Studi Makwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57255/intellect.v4i02.1392

Abstract

The high unemployment rate of undergraduate graduates in Indonesia, reaching 11.4% in the first six months after graduation, indicates the need for an early prediction system to identify factors that influence student employability. This study aims to analyze and compare the performance of three machine learning algorithms (Random Forest, Logistic Regression, and XGBoost) to predict employment status 6 months after graduation based on academic and socioeconomic data. The dataset consists of 3,945 graduates from universities in Padangsidimpuan with variables of study program, study duration, GPA, gender, and parental income. The operational target is employment status 6 months after graduation (binary: employed = 1, not yet = 0) with the proportion of employed classes: 48.2 %, not yet: 51.8%. Evaluation uses stratified 5- fold cross-validation with accuracy metrics, balanced accuracy, F1- macro, ROC-AUC, and PR-AUC. Model interpretability is analyzed using permutation importance and SHAP values. Random Forest achieved the best performance with F1- macro 0.524±0.015, ROC-AUC 0.567±0.012, followed by Logistic Regression (F1- macro : 0.511±0.018) and XGBoost (F1- macro : 0.506±0.020). The majority baseline achieved an accuracy of 51.8 %. Permutation importance analysis identified GPA as the most influential factor (importance : 0.082), followed by parental income (0.067) and duration of study (0.041). The machine learning model provided a moderate improvement compared to the majority baseline. GPA and socioeconomic factors were shown to significantly influence graduates' employment status. These findings can support the development of an early warning system for data-based student mentoring. Abstrak Tingginya tingkat pengangguran lulusan sarjana di Indonesia mencapai 11.4% dalam enam bulan pertama pasca kelulusan menunjukkan perlunya sistem prediksi dini untuk mengidentifikasi faktor-faktor yang mempengaruhi employability mahasiswa. Penelitian ini bertujuan menganalisis dan membandingkan performa tiga algoritma machine learning (Random Forest, Logistic Regression, dan XGBoost) untuk memprediksi status kerja 6 bulan pascawisuda berdasarkan data akademik dan sosial ekonomi. Dataset terdiri dari 3.945 data lulusan dari universitas di Padangsidimpuan dengan variabel program studi, durasi studi, IPK, jenis kelamin, dan penghasilan orang tua. Target operasional adalah status kerja 6 bulan pascawisuda (biner: bekerja=1, belum=0) dengan proporsi kelas bekerja:48.2%, belum:51.8%. Evaluasi menggunakan stratified 5-fold cross-validation dengan metrik akurasi, balanced accuracy, F1-macro, ROC-AUC, dan PR-AUC. Interpretabilitas model dianalisis menggunakan permutation importance dan SHAP values. Random Forest mencapai performa terbaik dengan F1-macro 0.524±0.015, ROC-AUC 0.567±0,012, diikuti Logistic Regression (F1-macro: 0.511±0,018) dan XGBoost (F1-macro: 0.506±0.020). Baseline mayoritas mencapai akurasi 51,8%. Analisis permutation importance mengidentifikasi IPK sebagai faktor paling berpengaruh (importance: 0.082), diikuti penghasilan orang tua (0.067) dan durasi studi (0.041). Model machine learning memberikan peningkatan moderat dibanding baseline mayoritas. IPK dan faktor sosial ekonomi terbukti berpengaruh signifikan terhadap status kerja lulusan. Temuan ini dapat mendukung pengembangan sistem early warning untuk pendampingan mahasiswa berbasis data.
Utilizing Sales Data to Optimize Digital Marketing Strategies for Beauty Products in Padangsidimpuan City Rosi Ramayanti; Ihdi Syahputra
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10114

Abstract

This study presents a data-driven framework for optimizing digital marketing strategies of beauty products in Padangsidimpuan. Motivated by the dominance of the Y.O.U brand (47.8% portfolio share) and an average store/BA target achievement rate of 43.7% with a 55.5% revenue gap, the research aims to integrate product portfolio analytics (price, margin, segmentation, brand) with sales performance analysis (target vs. actual). A quantitative descriptive approach was employed using secondary internal data—1,297 SKUs with sell-in/out prices and margin metrics, and monthly targets and achievements for 27 stores and 25 beauty advisors (August 2025)—supported by library research on digital marketing literature. Data analysis included descriptive statistics, price segmentation, brand distribution, margin analysis by segment, and performance gap assessment. Findings reveal a portfolio concentration in the mid-price segment (30k–60k, 38.6%) with an average margin of 31.3%, while only 14.2% of SKUs exceed 40% margin. The average achievement rate of 43.7% (range 0–91.1%) underscores the need for targeted digital interventions. The proposed framework prioritizes high-margin SKUs for paid media, SEO for mid-range products, cross-category bundling, live streaming, personalized content, and RACE-based KPI governance. Implementation is expected to close revenue gaps and raise the achievement rate above 60% within 1–2 quarters. The framework is adaptable to similar regional markets. Keywords: sales data, digital marketing, price segmentation, beauty products, RACE framework.
Utilizing Sales Data to Optimize Digital Marketing Strategies for Beauty Products in Padangsidimpuan City Rosi Ramayanti; Ihdi Syahputra
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10114

Abstract

This study presents a data-driven framework for optimizing digital marketing strategies of beauty products in Padangsidimpuan. Motivated by the dominance of the Y.O.U brand (47.8% portfolio share) and an average store/BA target achievement rate of 43.7% with a 55.5% revenue gap, the research aims to integrate product portfolio analytics (price, margin, segmentation, brand) with sales performance analysis (target vs. actual). A quantitative descriptive approach was employed using secondary internal data—1,297 SKUs with sell-in/out prices and margin metrics, and monthly targets and achievements for 27 stores and 25 beauty advisors (August 2025)—supported by library research on digital marketing literature. Data analysis included descriptive statistics, price segmentation, brand distribution, margin analysis by segment, and performance gap assessment. Findings reveal a portfolio concentration in the mid-price segment (30k–60k, 38.6%) with an average margin of 31.3%, while only 14.2% of SKUs exceed 40% margin. The average achievement rate of 43.7% (range 0–91.1%) underscores the need for targeted digital interventions. The proposed framework prioritizes high-margin SKUs for paid media, SEO for mid-range products, cross-category bundling, live streaming, personalized content, and RACE-based KPI governance. Implementation is expected to close revenue gaps and raise the achievement rate above 60% within 1–2 quarters. The framework is adaptable to similar regional markets. Keywords: sales data, digital marketing, price segmentation, beauty products, RACE framework.
Utilizing Sales Data to Optimize Digital Marketing Strategies for Beauty Products in Padangsidimpuan City Rosi Ramayanti; Ihdi Syahputra
BALQIS : Journal of Business Innovation and Digital Marketing Vol. 1 No. 2 (2025): December 2025
Publisher : Program Studi Bisnis Digital - Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/balqis.v1i2.10114

Abstract

This study presents a data-driven framework for optimizing digital marketing strategies of beauty products in Padangsidimpuan. Motivated by the dominance of the Y.O.U brand (47.8% portfolio share) and an average store/BA target achievement rate of 43.7% with a 55.5% revenue gap, the research aims to integrate product portfolio analytics (price, margin, segmentation, brand) with sales performance analysis (target vs. actual). A quantitative descriptive approach was employed using secondary internal data—1,297 SKUs with sell-in/out prices and margin metrics, and monthly targets and achievements for 27 stores and 25 beauty advisors (August 2025)—supported by library research on digital marketing literature. Data analysis included descriptive statistics, price segmentation, brand distribution, margin analysis by segment, and performance gap assessment. Findings reveal a portfolio concentration in the mid-price segment (30k–60k, 38.6%) with an average margin of 31.3%, while only 14.2% of SKUs exceed 40% margin. The average achievement rate of 43.7% (range 0–91.1%) underscores the need for targeted digital interventions. The proposed framework prioritizes high-margin SKUs for paid media, SEO for mid-range products, cross-category bundling, live streaming, personalized content, and RACE-based KPI governance. Implementation is expected to close revenue gaps and raise the achievement rate above 60% within 1–2 quarters. The framework is adaptable to similar regional markets. Keywords: sales data, digital marketing, price segmentation, beauty products, RACE framework.
Co-Authors Ahmad Zaki Desriana Rani Kusniati Rosi Ramayanti Zainal , Muhammad Rahfiqa