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All Journal Proceeding Buffalo International Conference JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Sistem Cerdas Building of Informatics, Technology and Science Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Inovasi dan Teknologi Pembelajaran (JINOTEP) Kajian dan Riset Dalam Teknologi Pembelajaran JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pendidikan dan Teknologi Indonesia Studium: Jurnal Pengabdian Kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Karya Abdi Masyarakat
M. Afdal
Faculty of Animal Husbandry Jambi University Kampus Mandala Darat Jambi 363611ndonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Public Health Social Sciences

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Analisis Sentimen Masyarakat Mengenai Gerakan Childfree di Media Sosial X Menggunakan Algoritma NBC dan SVM: Sentiment Analysis of Childfree Campaign on X Social Media Using NBC and SVM Algorithms Putra, Moh Azlan Shah; Permana, Inggih; Afdal, M.
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 4 (2024): MALCOM October 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i4.1356

Abstract

Anak merupakan salah satu entitas yang umum dalam membentuk sebuah keluarga, namun dalam beberapa tahun kebelakang muncul pembahasan mengenai childfree. Dengan banyaknya perdebatan pro-kontra mengenai childfree, perlu dilakukannya sentimen analisis terkait isu ini. Penelitian ini bertujuan untuk menganalisis sentimen masyarakat mengenai gerakan childfree di media sosial X menggunakan algoritma Naïve Bayes Classifier (NBC) dan Support Vector Machine (SVM). Sentimen dibagi menjadi 3 kelas yaitu positif, negatif, dan netral. Penelitian ini mengumpulkan data dengan crawling data pada media sosial X dengan keyword childfree. Data yang diperoleh merupakan data teks mentah sehingga dibutuhkan tahap pra proses. Tahap pra proses yang dilakukan adalah tokenizing, case folding, filter stopword, stemming, TF-IDF, dan data balancing. Berdasarkan simulasi, performa algoritma NBC adalah: akurasi = 56,36%, presisi = 56,41%, dan recall = 56,35%, sedangkan performa algoritma SVM adalah: akurasi 76,12%, presisi 76,36%, dan recall 76,13%. Sehingga dapat disimpulkan bahwa SVM memiliki performa yang lebih baik dari pada NBC pada analisis sentimen di penelitian ini.
Implementasi Algoritma Fuzzy C-Means menggunakan Model LRFM untuk Mendukung Strategi Pengelolaan Pelanggan Aini, Delvi Nur; Afdal, M.; Novita, Rice; Mustakim, Mustakim
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 3 (2024): Juli 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i3.7616

Abstract

The same treatment of all customers will cause customers who are not so valuable to become value destroyers in the concept of Customer Relationship Management. Providing discounts and promos to all customers without differentiating customer segments has not provided significant benefits for a company. These two things are being experienced by BC 4 HNI Pekanbaru, so changes are needed in evaluating the strategies taken to maintain relationships with customers and form segments according to customer characteristics. Customer segments can be analyzed from sales transaction data. The purpose of this study is to manage and group sales transaction data in determining customer segmentation so that the strategy is more targeted. The analysis of customer transaction data was carried out by grouping the data using the Fuzzy C-means algorithm and the length, recency, frequency, monetary (LRFM) model, and AHP weighting.  The formation of the number of validated clusters of the silhouette index and ranking is carried out by multiplying the weight of AHP to find the customer lifetime value (CLV) so that it can be known which customer groups provide high value to the company. The result of this study is that BC 4 HNI Pekanbaru customers are grouped into 2 segments, namely the potential customer group which has a fairly frequent transaction value with an average monetary value of Rp. 2,802,495.00 and a fairly high number of transactions contribute greatly to the Company and the new customer group which means a new customer segment with uncertain funds, an average monetary of Rp. 104,567.00. Based on the segment, BC 4 HNI Pekanbaru can carry out a strategy in managing its customers according to the type of segment generated from this research.
FERMENTASI JERAMI JAGUNG MENGGUNAKAN KAPANG TRICHODERMA HARZIANUM DITINJAU DARI KARAKTERISTIK DEGRADASI Suryadi, Suryadi; Darlis, Darlis; Syarif, Suhessy; Afdal, M.
Jurnal Karya Abdi Masyarakat Vol. 1 No. 1 (2017): Jurnal Karya Abdi Masyarakat
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (103.982 KB) | DOI: 10.22437/jkam.v1i1.3727

Abstract

Penelitian ini bertujuan untuk mengetahui lama waktu fermentasi dan karakteristik degradasi komponen serat jerami jagung fermentasi secara In sacco. Fermentasi jerami jagung secara padat menggunakan Trichoderma harzianum sebagai stater. Sebanyak 2,5 gram urea, 2,5 gram molases, 2,5 ml sediaan Trichoderma harzianum dicampur dengan air menjadi 20 ml yang kemudian disemprotkan pada 1000 gram jerami jagung segar. Selanjutnya jerami jagung dimasukkan ke dalam toples plastik dan diperam sesuai dengan perlakuan yaitu 4, 8, 12 dan 16 hari. Uji karakteristik degradasi jerami jagung fermentasi dilakukan dengan metode In sacco atau nylon bag technique. Sebanyak 6 gram sampel jerami dimasukkan ke dalam kantong nylon dengan ukuran 140, 80 mm diinkubasi ke dalam rumen sapi dengan interval waktu 6, 12, 24, 48 dan 72. Penelitian ini menggunakan rancangan acak lengkap (RAL) dengan perlakuan 4 lama fermentasi dan ulangan 3 untuk tiap perlakuan. Peubah yang diukur adalah karakteristik degradasi meliputi : Nilai fraksi a, nilai fraksi b dan nilai fraksi c dari NDF, ADF dan Hemiselulosa Jerami jagung fermentasi. Hasil penelitian ini menunjukkan bahwa lama fermentasi berpengaruh nyata terhadap nilai fraksi (a) dan nilai fraksi (b) dari NDF, nilai fraksi (c) dari ADF dan Hemiselulosa, tetapi tidak berpengaruh nyata pada fraksi (a) dan fraksi (b) dari ADF, fraksi (a) dan fraksi (b) dari hemiselulosa, fraksi (c) dari NDF jerami jagung fermentasi. Kesimpulan: Fermentasi jerami jagung dengan Trichoderma harzianum dapat meningkatkan nilai fraksi (a) dari NDF, ADF dan laju degradasi NDF ADF dan Hemiselulosa. Lama fermentasi yang terbaik pada jerami jagung fermentasi diperoleh pada perlakuan 16 hari.
Pengenalan Pakan Blok Berbasiskan Dekanter Sawit Sebagai Pakan Ternak Ruminansia Di Desa Kota Baru, Kecamatan Geragai Kabupaten Tanjung Jabung Timur Afdal, M.; Kaswari, Teja; Fakhri, Saitul; Suryani, Heni
Jurnal Karya Abdi Masyarakat Vol. 4 No. 3 (2020): Jurnal Karya Abdi Masyarakat
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.663 KB) | DOI: 10.22437/jkam.v4i3.11304

Abstract

Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah pemanfaatan dan pengenalan Dekanter Sawit (DS) kepada masyarakat peternak di desa Kotabaru. Pelaksanaan kegiatan ini adalah dengan memperkenalkan DS kepada anggota Kelompok Tani. Metoda yang dipergunakan adalah dengan survey pendahuluan terhadap potensi dan pemanfaatan DS di desa Kotabaru. Berdasarkan hasil survey pendahulaun ini maka diadakan sosialisai penggunaan DS sebagai pakan alternatif bagi ternak dengan program penyuluhan dan dilanjutkan dengan demonstrasi. Pada tahap awal ini diperkenalkan tata cara pembuatan pakan blok berbasiskan DS sebagai pakan alternatif untuk ternak ruminansia. Kesompulan dari program ini kelompok tani Suka Maju dapat menerima inovasi ini dengan memanfaatkan DS sebagai pakan alternatif ternak sapi dan sudah diadakan pelatihan pembuatan pakan blok berbasiskan DS
Analysis of User Adaptation to the My Capella Application based on the Coping Model of User Adaptation (CMUA) Mutia, Risma; Megawati, Megawati; Afdal, M.; Permana, Inggih
SISTEMASI Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5328

Abstract

The My Capella application developed by PT Capella Dinamik Nusantara was designed to facilitate customer access to digital services, particularly for booking Honda motorcycle servicing. However, its use still encounters several challenges, especially regarding user adaptation. These include difficulties in understanding and utilizing features, a complex interface, and insufficient user guidance. This study aims to analyze and identify user adaptation behavior toward the My Capella application in the Pekanbaru area using the Coping Model of User Adaptation (CMUA), which evaluates how users respond to new technologies through cognitive and emotional processes. The research findings support four accepted hypotheses: opportunity appraisal significantly influences problem-focused adaptation; secondary appraisal significantly influences both problem-focused and emotion-focused adaptation; and threat appraisal significantly influences problem-focused adaptation. The strongest effect was observed in the relationship between secondary appraisal and problem-focused adaptation, with a t-statistic of 7.259 > 1.960. These findings indicate that users respond to the My Capella application both cognitively and emotionally, aligning with the CMUA framework and reflecting adaptation processes that are both problem-focused and emotion-focused. Therefore, it is recommended that application developers provide interactive training modules, regular outreach or user engagement sessions, and improvements to the user interface (UI/UX) design to make it more intuitive. These efforts can enhance users' understanding and comfort in using application features—especially during system updates.
Analisis Sentimen Layanan J&T Express pada Sosial Media X Menggunakan Algoritma Naïve Bayes Clasifier dan K-Nearest Neighbor Priady, Muhamad Ilham; Afdal, M.; Permana, Inggih; Zarnelly, Zarnelly
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7721

Abstract

The demand for goods delivery services is increasing along with the widespread use of e-commerce platforms for buying and selling. One of the popular and frequently used delivery service providers is J&T Express. Until now, J&T has had a wide service coverage. However, various customers also have complaints that are often conveyed through social media X. For this reason, this study conducted a sentiment analysis of J&T Express user opinions on social media X using the Naïve Bayes Classifier (NBC) and K-Nearest Neighbor (KNN) algorithms. Data collection was carried out through scraping over a time span from January 1, 2023 to December 1, 2024, resulting in a total of 1,000 data points. The modeling results show that the NBC algorithm outperforms KNN, achieving an accuracy of 72.30%, a precision of 74.76%, and a recall of 72.30%. Meanwhile, the KNN algorithm with the best parameters (K = 9) only has an accuracy of 67.29%, precision of 69.46%, and recall of 67.29%. Then the results of the analysis show that J&T user opinions are dominated by negative sentiment (42.20%), followed by positive sentiment (38.70%) and neutral sentiment (19.10%). Further analysis based on five variables was also conducted and an understanding of J&T's weaknesses, namely in the service aspect, with the highest negative sentiment (21.0%). On the other hand, the user experience aspect is an advantage with the most positive sentiment (16.8%). The data visualization results also indicate that there are dominant customer complaints about the delay in the delivery process. However, customers also appreciate the speed and security of the delivery of goods. These findings provide valuable insights for J&T Express to conduct evaluations and improvements, especially in the service aspect, to improve overall customer satisfaction and experience.
OPTIMALISASI STRATEGI PROMOSI BERDASARKAN WAKTU DAN JENIS PRODUK MENGGUNAKAN ALGORITMA FP-GROWTH Andaranti, Arifah Fadhila; Afdal, M.; Permana, Inggih; Jazman, Muhammad; Marsal, Arif
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 2 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/dy69fk12

Abstract

Aba Mart is a convenience store that provides a wide range of daily necessities. One of the challenges faced by Aba Mart is the uncertainty in determining the optimal timing for product promotions. To address this issue, this study utilizes sales transaction data obtained from the store’s Point of Sale (POS) system, totaling 12,887 transactions recorded from March to August 2024. The dataset includes attributes such as date and product name, which were processed through attribute selection, categorization into 33 product types, conversion of dates to days, and transformation into boolean format for analysis. The study applies the Association Rule Mining (ARM) technique using the Frequent Pattern Growth (FP-Growth) algorithm to identify the relationship between the time of purchase and the types of products bought. The results demonstrate that the FP-Growth algorithm successfully identified patterns of association. By testing with minimum support values of 2%, 3%, and 4%, and a minimum confidence of 10%, the analysis produced 15 association rules in March, 11 in April, 14 in May, 13 in June, 11 in July, and 13 in August 2024. These rules have been used as a foundation for formulating more effective and targeted promotional strategies for Aba Mart.
Sistem Pendukung Keputusan Pemilihan Supplier Menggunakan Metode Simple Additive Weighting Pada Toko Grosir Dua Putri Mawaddah, Zuriatul; Salisah, Febi Nur; Saputra, Eki; Afdal, M.
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 8 (2025): JPTI - Agustus 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.958

Abstract

Pemilihan supplier yang tepat memegang peranan penting dalam menjaga efisiensi operasional dan daya saing perusahaan, khususnya dalam bisnis grosir. Toko Grosir Dua Putri mengalami kesulitan dalam menentukan supplier terbaik secara objektif. Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan (SPK) berbasis web menggunakan metode Simple Additive Weighting (SAW) guna mendukung pemilihan supplier secara efektif dan transparan. Metode SAW dipilih karena kemampuannya dalam memberikan penilaian terukur berdasarkan pembobotan beberapa kriteria, seperti harga, kualitas, ketepatan pengiriman, tempo pembayaran, dan layanan purna jual. Sistem ini dibangun menggunakan PHP dan MySQL. Evaluasi dilakukan melalui Black Box Testing dan User Acceptance Test (UAT), yang menunjukkan bahwa sistem bekerja dengan baik, dengan tingkat kepuasan pengguna sebesar 97,5%. SPK yang dikembangkan mampu memberikan rekomendasi supplier secara objektif, sehingga dapat meningkatkan akurasi dan efisiensi dalam pengambilan keputusan.
Co-Authors - Mardalena, - AA Sudharmawan, AA Addion Nizori Aini, Delvi Nur Andaranti, Arifah Fadhila Arif Marsal Darlis Darlis Eki Saputra Febi Nur Salisah, Febi Nur FITRY TAFZI Indriyani Indriyani Indriyani Inggih Permana Intan, Sofia Fulvi Jazman, Muhammad Kusuma, Gathot Hanyokro Lisani Mawaddah, Zuriatul Megawati - Mustakim Mustakim Mustakim Mutia, Risma Muttakin, Fitriani Nabillah, Putri Pertiwi, Tata Ayunita Priady, Muhamad Ilham Putra, Moh Azlan Shah Rice Novita Saitul Fakhri Suhessy Syarif, Suhessy Suryadi Suryadi Suryani, Heni Suseno, Rahayu Teja Kaswari Wibisono, Yudistira Arya Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Yuda, Afi Ghufran Yurleni Yurleni Zarnelly Zarnelly