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All Journal Seminar Nasional Informatika (SEMNASIF) To Maega: Jurnal Pengabdian Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) Madani : Indonesian Journal of Civil Society SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Journal of Applied Computer Science and Technology (JACOST) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Journal of Computer and Information System (J-CIS) D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer J-Icon : Jurnal Komputer dan Informatika In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Heliawaty Hamrul
Universitas Sulawesi Barat
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Other

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Pelatihan Sitasi Karya Ilmiah Menggunakan Mendeley Sulfayanti Faharuddin Situju; Nahya Nur; Heliawaty Hamrul; Nurdina Rasjid; Dian Megah Sari
Madani : Indonesian Journal of Civil Society Vol. 6 No. 1 (2024): Madani : Februari 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v6i1.2078

Abstract

Writing of scientific paper is done by following specified rules and regulations. In reality there are many students at the Faculty of Engineering, University of Sulawesi Barat who do not understand this well, for example: not paraphrasing quotations and not including reference sources correctly. Mendeley application can help students in writing scientific papers or final assignments but it still underutilized by students. This shows the importance of reference citing skills and utilizing the Mendeley application. So, it is necessary to conduct scientific paper citation training. The training was done through planning, training and evaluation activities. Planning aims to prepare and determine the needs during the training. The main activity, training, was organized for two days using a webinar concept on the first day which focused on providing material for preparing scientific work references and a training concept on the second day which focused on practice using Mendeley and coaching research proposals. Last activity, an evaluation was carried out to measure the successfulness of the training and further plans related to similar activities. The results of the training activities showed the participation of 68 students on the first day and 36 students on the second day. The results of the survey showed 100% of students who participated in training felt the benefits of the training therefore they hoped similar activities could be held every year. Another evaluation result is that student supervision should be done in small groups, so the reception of material more effective regarding how to cite scientific papers.
Pemberdayaan Lanjut Usia Melalui Pelatihan Hidroponik Berbasis Mikrokontroler Muh Imam Quraisy; Muzaki Muzaki; Heliawati Hamrul; Adi Heri
To Maega : Jurnal Pengabdian Masyarakat Vol 7, No 1 (2024): Februari 2024
Publisher : Universitas Andi Djemma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35914/tomaega.v7i1.2423

Abstract

Tujuan dari kegiatan pengabdian masyarakat ini adalah memberikan pelatihan kepada masyarakat lanjut usia di Kabupaten Polewali Mandar melalui pemanfaatan hidroponik bebrasis mikrokontroler. Kegiatan pengabdian bermitra dengan Yayasan Mandar Indonesia untuk membuat pelatihan keterampilan hidup untuk pemberdayaan lansia. Pelatihan yang dipilih adalah bercocok tanam secara hidroponik menggunakan alat berbasis mikrokontroler. Pemilihan alat ini sebab mudah digunakan oleh lansia. Pengabdian ini dinyatakan berhasil ditinjau dari aspek afektif dan kognitif berdasarkan hasil evaluasi yang menunjukkan terdapat peningkatan kompetensi bertani secara hidroponik menggunakan alat berbasis mikrokontroler setelah dilakukan pelatihan. Hal ini diperolah dari hasil uji kemampuan setelah pelatihan yang menunjukkan bahwa 100% dari 20 peserta dapat menjalankan alat pertanian hidropnik berbasis mikrokontroler dan dapat menghasilkan sayuran yang berkualitas dan hasil panen yang lebih banyak dibandingkan menggunakan cara tradisonal.
Analisis Perbandingan Kinerja Metode SAW dan MAUT dalam Menentukan Prioritas Penerima BPNT Ajis, Herawati; Muh Rafli Rasyid; Heliawaty Hamrul
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9081

Abstract

Metode pengambilan keputusan multikriteria, seperti Simple Additive Weighting (SAW) dan Multi-Attribute Utility Theory (MAUT), banyak digunakan untuk menentukan kelayakan penerima bantuan. Namun, masih sedikit penelitian yang membandingkan kedua metode secara langsung menggunakan dataset dan konteks yang sama, khususnya untuk prioritas penerima Bantuan Pangan Non Tunai (BPNT). Penelitian ini membandingkan kinerja SAW dan MAUT berdasarkan peringkat, tingkat kesesuaian, dan korelasi Spearman, menggunakan 200 alternatif dengan 14 kriteria sosial-ekonomi melalui tahapan pengumpulan data, penerapan metode, analisis perbandingan hasil, pengujian tingkat kesesuaian dan korelasi Spearman, serta penarikan kesimpulan. Hasil menunjukkan tingkat kesesuaian yang sangat tinggi untuk kedua metode, yaitu 99,99391% (SAW) dan 99,99484% (MAUT), dengan korelasi Spearman 0,7225 yang menunjukkan hubungan positif kuat. SAW lebih sensitif terhadap variasi data dan arah preferensi benefit–cost, sedangkan MAUT cenderung stabil tetapi kurang peka terhadap perbedaan nilai. Kedua metode konsisten dan layak digunakan, sehingga pilihan dapat disesuaikan dengan karakteristik data dan kebutuhan analisis sistem pendukung keputusan.
ANALISIS PENGARUH RANDOM SEARCH PADA LOGISTIC REGRESSION DALAM KLASIFIKASI SENTIMEN PENGGUNA APLIKASI PDAM INFO Ramadani, Suci Awalia; Heliawaty Hamrul; Nurhikma Arifin
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 9 No 1 (2026): Jurnal SKANIKA Januari 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v9i1.3646

Abstract

Digital transformation increases the demand for fast and responsive technology-based public services through mobile applications, including the PDAM Info application. User reviews provide important insights for improving service quality, but their large volume makes manual analysis inefficient, requiring text-based sentiment analysis using machine learning. Default machine learning parameters are often suboptimal; therefore, Random Search is applied to improve classification performance. This study analyzes user sentiment and examines the effect of Random Search on sentiment classification of the PDAM Info application. A total of 2,400 Google Play Store reviews were collected, resulting in 1,677 data after preprocessing, labeled using a lexicon-based approach, and represented using TF-IDF. Logistic Regression and Support Vector Machine were used for classification with Random Search for hyperparameter tuning. The results indicate that negative sentiment dominates user reviews, mainly related to service coverage and payment methods. Random Search improves classification performance, achieving 88% accuracy and 83% F1-score, particularly in predicting positive and neutral classes on imbalanced data. The contribution of this study provides insights into user perceptions for PDAM Info application developers and demonstrates that Random Search.
Co-Authors Adi Heri Ajis, Herawati Arifin, Nurhikma Armadyah Amborowati Aswad Tasdir Awaldi Awaldi Bambang Soedijono Dian Megah Sari Dian Megah Sati Farid Wajidi Irfan AP kurniawati Muh Imam Quraisy Muh Rafli Rasyid Muh. Fuad Mansyur Musyrifah Muzaki Muzaki Nur, Nahya Nuralamsyah Zulkarnaim Nurdina Rasjid Nurfaidah . Nurlinah Nurdin Ramadani, Suci Awalia Suhardi Suhardi Suhardi Sulfayanti Syarkia Yunus Udin