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Pengelolaan Dana Desa Untuk Good Governance Di Desabiji Nangka Kecamatan Sinjai Borong Kabupaten Sinjai Kamal, Ahmad; Muhammadiah, Muhammadiah; Fatmawati, Fatmawati
Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Vol 2, No 6 (2021): Desember 2021
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/kimap.v2i6.6400

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ABSTRACTThe purpose of this study was to find out the implementation and factors  through the Village Innovation Exchange in Sinjai Borong District, Sinjai Regency. This study used phenomenology with qualitative research type. The number of research informants was 8 people. Research information was collected through observation, interviews and documentation. Based on the results of research on Reinventing Government through the Village Innovation Exchange in Sinjai Borong District, Sinjai Regency on the principle of catalytic government (Catalytic Government) showed that there were efforts to improve the welfare of rural communities by providing a platform or program that could initiate village businesses in utilizing village funds they had by innovative way. The principle of government owned by the community showed that the community gained knowledge on the basis of their own initiative and the potential of the village so that they Could get additional income. The inhibiting factor was the lack of follow-up from the community after the implementation of the Village Innovation Exchange activities and the existence of differences of opinion regarding village innovation activities.Keywords: Village fund management, good governance
Eksplorasi Sentimen Pengguna pada Aplikasi E-Commerce dengan Deep Learning Kamal, Ahmad; Astri, Renita
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 7 No 3 (2025): Juli 2025
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v7i3.2010

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This study investigates user sentiment toward leading Indonesian e‑commerce applications through deep‑learning‑based text classification. A balanced corpus of 50,000 Indonesian‑language reviews was collected from Google Play and App Store for Tokopedia, Shopee, Bukalapak, Lazada, and Blibli. We applied two state‑of‑the‑art approaches—Long Short‑Term Memory (LSTM) networks enriched with pre‑trained FastText embeddings and fine‑tuned Bidirectional Encoder Representations from Transformers (BERT; IndoBERT v2). Data pre‑processing included text cleaning, slang normalization, stemming, and tokenization following the KBBI standard. Both models were trained with an 80:20 stratified split and evaluated using accuracy, precision, recall, F1‑score, and AUC. BERT achieved 90.6 % accuracy and 90.1 % F1‑score, outperforming LSTM's 83.2 % accuracy and 82.7 % F1‑score. McNemar’s test indicated the improvement is statistically significant (p < 0.01). These findings show that contextual embeddings capture nuanced Indonesian sentiments more effectively than sequential RNN‑based approaches, offering actionable insights for e‑commerce stakeholders to enhance customer experience.
Harnessing BERT for Semantic Understanding in Tourism Recommendation Engines Renita Astri; Po Hung, Lai; Binti Sura, Suaini; Kamal, Ahmad
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6575

Abstract

It will be necessary for attraction managers within hotels to track guests' lifestyles to keep the business running. Such an understanding may be achieved, for example by analyzing reviews on attractions to capture the attitudes of the visitors towards the services and business within the tourism industry. The approach utilizes web scraping to gather user-generated reviews, using text preprocessing, data pre-processing, and further improvement of the model using labelled sentiment data divided into three sentiment classes: positive, negative, or neutral. The dataset consisting of 908 reviews were divided in 70:15:15 ratio for training, validation and testing. Model performance was measured in terms of accuracy, precision, recall and F1-score. In this study, the BERT deep learning model is used to classify sentiments of Indonesian tourist. Using the SmallBERT variant fine-tuned on 515k reviews for 5 epochs, the model achieved 91.40% accuracy, 90.51% precision, recall, and F1 score. The results indicate a dominance of positive sentiments, visualized using tableau. This research provides a robust foundation for developing intelligent sentiment-based recommendation systems in the tourism sector and suggests future exploration using other transformer-based models such as GPT, T5, or BART for comparative analysis.
Early Marriage in the Perspective of Islamic Law: A Case Study in Indonesia Kamal, Ahmad
FITRAH: Jurnal Kajian Ilmu-ilmu Keislaman Vol 10, No 1 (2024): 8 Articles, Pages 1-166
Publisher : UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/fitrah.v10i1.11146

Abstract

Early marriage is a persistent and complicated social issue, with a major contributing factor being out-of-wedlock pregnancies. This qualitative research, utilizing a case study approach, was conducted to meticulously examine the phenomenon of early marriage through the lens of Islamic law, based on concrete societal cases in Indonesia. The study sites were specifically chosen in the Yogyakarta and Kotabaru regions due to their high rates of early marriage. Data were gathered from 16 diverse informants, including early marriage practitioners, their parents, religious and community leaders, and officials from the Religious Affairs Office (KUA), using structured, in-depth interviews. Data analysis followed procedures of reduction, presentation, and interpretation. The research concluded with two significant findings: the dominant factors causing early marriage, where pregnancy outside of marriage is the most substantial cause; and the view of Islamic law in addressing this problem. The resolution often involves marrying the couple with considerations of public benefit (maslahah), adhering to the principles outlined in the Compilation of Islamic Law (KHI). While initial Islamic perspectives prohibit marriage after an act of adultery (zina), the use of marriage dispensation by religious courts allows for resolution, preventing issues related to lineage and further adultery. The research is highly beneficial for society as it clarifies the factors triggering early marriage, thereby facilitating the development of targeted, effective solutions and necessary legal reform.
Menciptakan Collaborative Learning Guru dan Peserta Didik Melalui Aplikasi Padlet Pada Sekolah Menengah Atas Pekanbaru Jollyta, Deny; Nasien, Dewi; Nora Marlim, Yulvia; Gustientiedina, Gustientiedina; Adiya, M. Hasmil; Mukhsin, Mukhsin; Rahmadian Yuliendi, Rangga; Kamal, Ahmad; Hajjah, Alyauma; Johan, Johan
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 2 (2025): April 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i2.3682

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Collaborative Learning requires teachers and students to maintain an engaging learning environment at all times. Problems emerge when teachers, notably high school teachers in Pekanbaru, employ learning material that do not support this. Teachers' creativity is pushed to constantly update how they present materials and evaluate students' knowledge in order to foster a collaborative and pleasurable learning environment. This community service project will help Pekanbaru high school instructors create collaborative and real-time learning tools. The Community Service Team employed an observation strategy to get a sense of learning at Santa Maria High School, which served as an example school. The proposed solution is technologically based, making use of the Padlet application. The Community Service Team offers training methods on smartphones and computers to help people grasp Padlet. The community effort resulted in a polished Padlet that teachers may use to study with students at any time. It is intended that studying using the Padlet application would boost teacher innovation and student learning results at Santa Maria High School, as well as high schools around Pekanbaru.Keywords: Teacher; padlet; collaborative learning; learners;SMA. Abstrak: Pembelajaran Kolaboratif (Collaborative Learning) mengarahkan guru dan peserta didik dalam suasana belajar yang interaktif setiap saat. Permasalahan muncul pada saat media pembelajaran yang digunakan guru tidak mendukung hal tersebut, termasuk guru-guru Sekolah Menengah Atas (SMA) di Pekanbaru. Kreativitas guru ditantang untuk selalu memperbaharui cara penyampaian materi, cara mengevaluasi pemahaman peserta didik hingga penilaian, demi terciptanya suasana belajar yang kolaboratif dan menyenangkan. Kegiatan pengabdian ini bertujuan untuk membantu guru SMA di Pekanbaru dalam mempersiapkan bahan pembelajaran yang kolaboratif dan real time. Tim Pengabdian melakukan metode observasi untuk mendapatkan gambaran pembelajaran melalui SMA Santa Maria yang dijadikan sebagai sekolah sampel. Metode yang diusulkan berbasis teknologi melalui pemanfaatan aplikasi Padlet. Untuk memudahkan pemahaman Padlet, Tim Pengabdian menggunakan metode pelatihan, baik melalui komputer maupun smartphone. Hasil pengabdian adalah Padlet jadi yang dapat digunakan guru dalam pembelajaran bersama peserta didik setiap waktu. Diharapkan pembelajaran melalui aplikasi Padlet mampu meningkatkan kreativitas guru dan hasil belajar peserta didik SMA Santa Maria khususnya dan SMA di Pekanbaru umumnya.Kata kunci: guru; padlet; pembelajaran kolaboratif; peserta didik; SMA.
Pelaksanaan Pengajian Halaqah Dalam Pemahaman Keagamaan Pada Ma’had Aly Pondok Pesantren As’adiyah Sengkang Kabupaten Wajo Kamal, Ahmad; Nawas, Kamaluddin Abu; Marjuni, A
Al Qodiri : Jurnal Pendidikan, Sosial dan Keagamaan Vol. 17 No. 2 (2019): Al Qodiri : Jurnal Pendidikan, Sosial dan Keagamaan
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Ilmiah (LP3M) Institut Agama Islam (IAI) Al-Qodiri Jember, Jawa Timur Indonesia bekerjasama dengan Kopertais Wilayah 4 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (644.781 KB)

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Abstrak Gambaran tentang pelaksanaan pengajian halaqah antara lain waktu pelaksanaan pengajian halaqah yang dilaksanakan pada waktu antara shalat magrib-isya, dan setelah shalat subuh, peserta yang mengikuti pengajian halaqah adalah para mahasantri Ma’had Aly Pondok Pesantren As’adiyah Sengkang Kabupaten Wajo dan Syekh yang sering disebut anre gurutta sebagai narasumber pengajian, dan kitab kuning atau kitab klasik sebagai materi pengajian, metode pengajian halaqah yang digunakan adalah metode pengajian tuntas, dimana kitab yang menjadi materi pengajian dibahas secara menyeluruh tanpa melangkahi dan memilih-milih bagian kitab yang ingin dibaca. Usaha Kiyai dalam pengembangan pemahaman keagamaan antara lain, membentuk lingkungan pendidikan yang menunjang usaha peningkatan pemahaman keagamaan dengan membangun beberapa fasilitas seperti masjid, asrama atau pondok, perpustakaan. Usaha selanjutnya adalah megadakan kitab-kitab rujukan unntuk memenuhi kebutuhan mahasantri terhadap bacaan yang memadai. Usaha selanjutnya adalah mengajarkan kaedah-kaedah dasar keagamaan yang diajarkan baik dipengajian halaqah dan juga pembelajaran dalam kelas. Hasil pelaksanaan pengajian halaqah dalam pengembangan pemahaman keagamaan yaitu penguasaan Bahasa Arab terutama dalam hal membaca kitab kuning yang menjadi materi pengajian halaqah. Selanjunya adalah meningkatkan wawasan keislaman baik itu dalam bidang tafsir, hadis, tasawwuf dan akhlak, selanjutnya menjadi bahan materi ceramah yang menadi bekal bagi mahasantri untuk terjun kemasyarakat. Kata kunci: Halaqah, Ma’had Aly, Anregurutta.
Pengembangan Sistem Rekomendasi Program Studi Multikelas Menggunakan Algoritma Random Forest Astri, Renita; Kamal, Ahmad; Zulfahmi, Zulfahmi; Faradika, Faradika
TIN: Terapan Informatika Nusantara Vol 6 No 5 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i5.8369

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Choosing a major is a crucial decision for prospective students entering higher education. An inappropriate choice may lead to low learning motivation, poor academic performance, and career mismatches. This study aims to develop a multiclass majors recommendation system based on machine learning using the Random Forest algorithm. The dataset consists of 855 student and alumni records from 10 majors at Dharma Andalas University (UNIDHA), including academic attributes (subject grades, GPA, entrance test results) and non-academic attributes (gender, high school major, interest, and alumni career field). The model was trained using an 80:20 train-test ratio and evaluated using accuracy, precision, recall, F1-score, and macro-average AUC. The results show that the Random Forest outperforms Decision Tree, K-Nearest Neighbor, and Naive Bayes, achieving an accuracy of 0.920 and AUC of 0.972. These findings demonstrate that ensemble-based algorithms are highly effective for multiclass recommendation problems and can serve as a foundation for academic and career guidance systems in universities.
Serendipitous Recommendations for Handicraft Store Discovery in Social Commerce Using a Genetic Algorithm with Adaptive Selection Kamal, Ahmad; Binti Sura, Suaini; Po Hung, Lai; Astri, Renita
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.7077

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In social commerce, particularly among small and medium-sized handicraft enterprises (SMEs), personalized recommender systems (RS) are crucial for enhancing store and product discovery. Conventional content-based filtering (CBF) often overemphasizes accuracy, leading to over-specialization and limiting exposure to novel or diverse items, an issue in the handicraft sector where uniqueness is valued. This study proposes a serendipitous recommendation approach using a Genetic Algorithm (GA) with adaptive selection strategies, Roulette Wheel Selection (RWS), Tournament Selection (TnS), and Rank-Based Selection (RBS), to balance relevance and unexpectedness. Handicraft store attributes, such as product types, materials, and services, are encoded in a 19-bit chromosome and evaluated via a hybrid fitness function. Tested on real data from West Sumatra SMEs, the model is assessed using Precision, Recall, Novelty, and Serendipity metrics. Results show that the GA-based adaptive selection approach outperforms baseline CBF in producing more diverse and surprising recommendations, fostering exploratory shopping experiences and supporting the discovery of unique local products in social commerce ecosystems.
PENGARUH KONTEN “RYZEN” DI APLIKASI NIMO TV TERHADAP SIKAP BERMAIN GAME PUBG MOBILE SEA ESPORT Kamal, Ahmad; Sopyan, Muhamad
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 2 No 2 (2023): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v2i2.574

Abstract

This study aims to determine whether there is an effect of “Ryzen”on Nimo TV content on the attitude of playing PUBG Mobile games SEA Esport. This research makes SEA Esport members as respondents. The theory used in this research is hypodermic needle theory and this research also uses quantitative-descriptive methods. The results of this study are that Ryzen” on Nimo TV content can affect the attitude of playing PUBG Mobile games. In addition, testing using other variables, regarding a person's motivation to use the media, because from the results of this study only 49% of the influence of X on Y. The results of this study can also be a recommendation for content planners for Nimo TV Indonesia if they have adequate resources to create and To develop content, Nimo TV Indonesia shows must always be packaged in an attractive manner, and provide information on how to play games.