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All Journal NALARs Jurnal Teknologi Informasi dan Ilmu Komputer Nagari Law Review Bina Hukum Lingkungan Jurnal Muara Ilmu Sosial, Humaniora, dan Seni Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal Mnemonic Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Jurnal Tunas Agraria MAHESA : Malahayati Health Student Journal Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Tafkir: Interdisciplinary Journal of Islamic Education UNES Journal of Swara Justisia Hunafa: Jurnal Studia Islamika Bina Hukum Lingkungan Prosiding University Research Colloquium Jurnal Karya Abdi Masyarakat Jurnal Pengabdian Masyarakat Dharma Andalas Lareh Law Review Artinara
Titin Fatimah
Fakultas Tarbiyah dan Ilmu Keguruan IAIN Palu
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Akibat Hukum Pemberlakuan Perjanjian Kerja Bersama Yang Habis Masa Berlakuknya Rivano, Magasky; Khairani; Fatimah, Titin
Lareh Law Review Vol. 2 No. 1 (2024): Lareh Law Review
Publisher : Fakultas Hukum Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/llr.2.1.73-84.2024

Abstract

The form of working relationship between employers and employees is an interdependent relationship. In this relationship, there is an imbalance in the bargaining position between workers and employers, so government intervention is needed to protect workers' rights. So, the government established regulations that require workers and employers to make collective bargaining agreements (PKB). This study uses a normative juridical method with a conceptual approach and a legal synchronization approach. The results of the study found that historically, there has been no clear regulation regarding the way out of expired collective bargaining agreements, and new collective bargaining agreements have not been agreed upon or ratified, both according to Permenaker No. 28 of 2014 and Article 123 of UU No. 13/2003. The legal consequences of the extension of the implementation of the expired Collective Labor Agreement are still valid in its enforcement because, in its implementation, it is in accordance with the rules in Permenaker No. 28 of 2014. However, it will cause potential problems with the renewal of the PKB, which will cause legal uncertainty. This will cause weak legal protection for workers and employers because there is no clarity regarding the maximum limit of enforcement of expired PKB, resulting in the degradation of the guarantee of rights and protection for workers. This uncertainty indicates the need for harmonization and synchronization in the arrangements related to the PKB, and if there is a dispute over industrial relations related to the PKB, it will be resolved quickly and effectively in accordance with the principle of dispute resolution itself.
Perlindungan Hak Masyarakat Hukum Adat dalam Pengelolaan Hutan Syofiarti, Syofiarti; Fatimah, Titin; Aini, Nur
Nagari Law Review Vol 7 No 2 (2023): Nagari Law Review
Publisher : Faculty of Law, Andalas University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/nalrev.v.7.i.2.p.253-268.2023

Abstract

Forests are one of the valuable assets owned by the Indonesian people. Since a long time ago, forests have been the life support of the surrounding communities, including Customary Law Peoples. In fact, in forest management, the rights of Customary Law Peoples have been determined by the constitution, precisely Article 18B paragraph (2) and Article 33 paragraph (3) of the 1945 NRI Constitution which was later affirmed by derivative rules. Unfortunately, in reality, the use of forests by Indigenous Peoples often contradicts government policies which have implications for the emergence of forestry disputes involving Indigenous Peoples. This study aims to analyze regulations on the rights of Customary Law Peoples (MHA) in managing forests, find factors that trigger the birth of disputes and offer a pattern of protection of MHA rights in forest management. Empirical juridical approach with analytical destriptive nature is the method chosen by the author to examine the problems in this study. The data used consists of two types, namely primary data and secondary data. Then, the collected data will be analyzed qualitatively. The location of this research is focused in West Sumatra Province, precisely in the Mentawai Islands and Nagari Malalo. The results of this study prove that MHA's forest management rights protection arrangements already exist, but have not been able to guarantee MHA's rights protection. This then also became one of the factors triggering the dispute. Therefore, to answer this problem, a pattern of protection is needed by strengthening and consistency in regulating MHA rights in forest management and simplifying the mechanism for recognition of MHA customary forests by the government. It is hoped that the pattern offered can create certainty and legal order in order to achieve legal justice for MHA for forest management.
Jalan Terjal Redistribusi Tanah Menuju Pemerataan Kepemilikan Hak Atas Tanah di Kabupaten Pasaman Saimar, Hamda Afsuri; Fendri, Azmi; Fatimah, Titin
Tunas Agraria Vol. 7 No. 2 (2024): Tunas Agraria
Publisher : Diploma IV Pertanahan Sekolah Tinggi Pertanahan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31292/jta.v7i2.299

Abstract

Failure to implement good land redistribution to the community will lead to gaps in ownership of land rights in Indonesia. Implementation of land redistribution in accordance with expectations can at least ensure equal distribution of ownership of land rights, realize the optimization of agricultural land, and increase income for the people of Pasaman Regency. This research aims to examine the implementation of land redistribution, especially for the period 2021–2022, in Pasaman Regency in response to the challenge of equitable ownership of land rights. This research uses an empirical juridical approach; the nature of the research is descriptive and analytical; data collection techniques are carried out using interviews and document studies. The final results show that the implementation of land redistribution in Pasaman Regency, if seen in the last two years, is still considered to be less effective in realizing equal distribution of ownership of land rights. The lack of precise targets and the failure to achieve these targets impact the effectiveness of land redistribution. With the various challenges and prospects that are expected in the future, it is necessary to adapt policies to several agrarian reform events, such as the concept of land reform in Ngandagan Village and the proposed requirements for establishing cooperatives that were implemented in Nagari Timpe.   Tidak terlaksananya redistribusi tanah yang baik kepada masyarakat akan menyebabkan terjadinya kesenjangan kepemilikan hak atas tanah di Indonesia. Pelaksanaan redistribusi tanah yang sesuai dengan harapan setidaknya dapat memastikan pemerataan kepemilikan hak atas tanah, terwujudnya optimalisasi lahan pertanian dan meningkatkan pendapatan bagi masyarakat Kabupaten Pasaman. Penelitian ini bertujuan untuk mengkaji pelaksanaan redistribusi tanah, terutama periode tahun 2021 dan tahun 2022 di Kabupaten Pasaman dalam menjawab tantangan pemerataan kepemilikan hak atas tanah. Penelitian ini menggunakan pendekatan yuridis empiris, sifat penelitian deskriptif analitis, teknik pengumpulan data dilakukan dengan wawancara dan studi dokumen. Hasil akhir menunjukkan bahwa pelaksanaan redistribusi tanah di Kabupaten Pasaman jika dilihat dalam dua tahun terakhir masih dinilai kurang efektif dalam mewujudkan pemerataan kepemilikan hak atas tanah. Hal ini dipengaruhi oleh kurang tepatnya sasaran dan tidak tercapainya target pelaksanaan redistribusi tanah. Dengan berbagai tantangan beserta prospek yang diharapkan kedepannya diperlukan adaptasi kebijakan terhadap beberapa peristiwa pembaruan agraria seperti konsep landreform di Desa Ngandagan dan pengajuan persyaratan pendirian koperasi yang dilaksanakan di Nagari Timpe.
Diversity Problems in Students' Educational Backgrounds and Learning Program Policies of Arabic Language Education Asse, Ahmad; Putri, Fani Fadhila; Fatimah, Titin; Nursyam, Nursyam; Faqihuddin, Didin
Tafkir: Interdisciplinary Journal of Islamic Education Vol. 4 No. 4 (2023): Integrative Islamic Education
Publisher : Pascasarjana Universitas KH. Abdul Chalim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/tijie.v4i4.701

Abstract

The aim of this article is to analyze the problems of diversity in students' educational backgrounds and the policies of the UIN Datokarama Palu Arabic Language Education (PBA) learning program. The type of research used in this research is qualitative field research. Meanwhile, the data analysis technique uses the Huberman and Miles method. The results of the research show that the Arabic language learning problems faced by students of the Arabic Language Study Program (PBA) at UIN Datokarama Palu consist of language proficiency problems, psychological problems, and intellectual problems. The Arabic language study program policy is to manage these problems through the application of various learning methods and models, the provision of scholarships, and the formation of Arabic study groups. Through the application of various learning methods and models, language proficiency problems faced by students can be overcome. Meanwhile, providing scholarships is effective in overcoming the psychological problems faced by students. The formation of an Arabic study group is effective in overcoming language proficiency problems and intellectual problems.
Prediksi Tingkat Depresi (Kesehatan Mental) MenggunakanPHQ-9, Naïve Bayes, Random Forest dan Support Vector Machine Budiyanto, Utomo; Fatimah, Titin; Pratama, Bijan Austin
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 1: Februari 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2026131

Abstract

Kesehatan mental dalam hal ini khususnya masalah depresi, merupakan isu global yang memengaruhi jutaan individu di seluruh dunia. Identifikasi dini dan perawatan yang efektif dapat berdampak positif pada kualitas hidup individu yang terkena dampak. Pada kalangan pelajar maupun mahasiswa, efek depresi bisa lebih signifikan terlihat. Pelajar maupun mahasiswa sering menghadapi tekanan dari sisi akademik, sosial dan ekonomi yang tinggi, yang dapat memicu atau memperburuk gejala depresi. Efeknya bisa menurunkan kualitas akademik, presensi kelas yang menurun, isolasi secara kehidupan sosial bahkan risiko tinggi terhadap permasalahan kesehatan mental yang lebih serius. Hal ini membutuhkan perhatian dan penanganan khusus. Penelitian ini bertujuan untuk mengembangkan model Machine Learning yang dapat memprediksi tingkat depresi berdasarkan data PHQ-9 (Patient Health Questionnaire-9). Algoritma yang digunakan yaitu Naïve Bayes, Random Forest dan Support Vector Machine (SVM). Sumber data utama didapat melalui survei 200 mahasiswa dari 2 Perguruan Tinggi dan analisis data mencakup fitur-fitur yang relevan untuk prediksi tingkat depresi. Model dilatih serta dievaluasi menggunakan metrik yang sesuai seperti akurasi, presisi, recall dan F1-score. Perbandingan kinerja antara ketiga algoritma dilakukan untuk menentukan algoritma yang paling efektif dalam memprediksi tingkat depresi. Hasil pengujian menunjukkan nilai akurasi menggunakan Naïve Bayes sebesar 77% sedangkan Random Forest adalah 97.5% serta SVM sebesar 98%. Pengujian secara keseluruhan menunjukan bahwa algoritma SVM paling akurat dan konsisten untuk semua tingkat depresi.   Abstract Mental health specifically depression, is a global issue that affects millions of individuals worldwide. Early identification and effective treatment can have a positive impact on the quality of life of affected individuals. Among students, the effects of depression can be more significant. Students often face high levels of academic, social, and economic pressure, which can trigger or exacerbate depressive symptoms. The effects can include decreased academic performance, decreased class attendance, social isolation, and even a higher risk of more serious mental health problems. This requires special attention and treatment. This research aims to develop a Machine Learning model that can predict depression levels based on PHQ-9 (Patient Health Questionnaire-9) data. The algorithms used are Naive Bayes, Random Forest, and Support Vector Machine (SVM). The primary data source was obtained through a survey of 200 students from two universities, and data analysis will include features relevant to depression prediction. The model was trained and evaluated using appropriate metrics such as accuracy, precision, recall, and F1-score. A performance comparison between the three algorithms was conducted to determine the most effective algorithm in predicting depression levels. The test results showed an accuracy value using Naive Bayes of 77%, while Random Forest was 97.5% and SVM was 98%. Overall, SVM was the most accurate and consistent for all levels of depression.
Co-Authors Ahmad Asse Akhiryani, Atna Ali Djamhuri Atik Ariesta Azmi Fendri Darnis Darnis, Darnis Dolly Virgian Shaka Yudha Sakti Faqihuddin, Didin Farida Ariyani, Pipin Fithrina, Hendria Gusminarti, Gusminarti Hengki Andora Indrawati, Klara Puspa Jayanti, Theresia Budi Khairani Khairani Khairani Leonard M. Arif, Arifuddin Masluroh, Masluroh Muhammad Yades, Kevin Mukharomah, Siska Mulya, Anissa Amalia Nugrahati, Annisa Dina Nur Aini Nur Rahmah Hidayati, Nur Rahmah Nursyam Nursyam Prana, Adam Madigliani Pratama, Bijan Austin Putri, Fani Fadhila Rivano, Magasky Romi Romi, Romi Rosari, Anton Saimar, Hamda Afsuri Samsinar Samsinar Siregar, Ridwan Efendi Siwi, Samsu Hendra Solikhah, Nafiah Sucy Delyarahmi Susanto, Fahmi Adhitya Citra Syofiarti Ubadah Ubadah, Ubadah Utomo Utomo Budiyanto Wicaksono, Wirawan Pandu Windihastuty, Wiwin Yuslim Yuslim Zulfitri, Amelia