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Ahmad Khairul Umam
Politeknik Elektronika Negeri Surabaya
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EVALUASI IMPLEMENTASI PERATURAN DAERAH NOMOR 11 TAHUN 2018 TENTANG PENATAAN PEDAGANG KAKI LIMA DI TAMAN TAJAMARA, SUMENEP Hari, Nirwana Haidar; Umam, Ahmad Khairul; Hujairi, Ahmad Walid; Sukaridhoto, Sritrusta; Bahtiar Arifianto, M. Mohamad Zaky; Firdausy, Davana Yudista; Abdul Aziz, Moch. Ilham
Jurnal Karaton Vol 5 No 1 (2025): Karaton: Jurnal Riset dan Inovasi Sumenep
Publisher : Badan Riset dan Inovasi Daerah Kabupaten Sumenep

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Abstract

Penelitian ini mengevaluasi implementasi Peraturan Daerah Kabupaten Sumenep Nomor 11 Tahun 2018 tentang Penataan dan Pemberdayaan Pedagang Kaki Lima (PKL) pada kawasan Taman Tajamara sebagai zona hijau PKL. Secara khusus, penelitian ini berupaya menjawab tiga pertanyaan: (1) bagaimana pelaksanaan Perda tersebut di Taman Tajamara dengan dukungan sistem pemantauan berbasis Smart PKL (IoT–MQTT); (2) faktor apa saja yang mendukung implementasinya; dan (3) faktor apa saja yang menghambat implementasi di lapangan. Pendekatan yang digunakan adalah kualitatif studi kasus melalui wawancara mendalam, observasi lapangan, analisis dokumen, serta integrasi data digital dari sistem Smart PKL yang merekam kehadiran dan jam operasional PKL secara otomatis. Kerangka evaluasi William N. Dunn digunakan untuk menilai kinerja kebijakan, sementara model implementasi Van Meter dan Van Horn dimanfaatkan untuk memetakan faktor pendukung dan penghambat. Hasil penelitian menunjukkan bahwa pelaksanaan Perda No. 11 Tahun 2018 di Taman Tajamara telah memberikan arah penataan yang lebih tertib, terutama melalui pengaturan zonasi dan pengurangan kesemrawutan ruang publik. Namun, jawaban atas rumusan masalah pertama mengindikasikan bahwa efektivitas implementasi masih terbatas oleh inkonsistensi penegakan jam operasional, keterbatasan sumber daya pengawasan, dan belum terintegrasinya Smart PKL ke dalam SOP rutin pengawasan. Menjawab rumusan masalah kedua, faktor pendukung utama implementasi meliputi kejelasan norma zonasi dalam Perda, komitmen sebagian aparat lapangan, dan ketersediaan data faktual dari sistem Smart PKL. Adapun terkait rumusan masalah ketiga, faktor penghambat mencakup kapasitas kelembagaan dan koordinasi lintas-OPD yang belum optimal, resistensi sebagian PKL terhadap penertiban, serta belum adanya prosedur teknis penggunaan data Smart PKL sebagai dasar tindakan. Penelitian ini merekomendasikan penguatan koordinasi kelembagaan, integrasi Smart PKL sebagai sistem pendukung keputusan, dan penyusunan SOP operasional yang adaptif terhadap pola aktivitas faktual PKL di Taman Tajamara.
Energy-Efficient Sector-Based Routing in 3D Wireless Sensor Networks Using Midpoint-Aware Cluster Head Selection Hari, Nirwana Haidar; Ahmad Khairul Umam; Lusiana Agustien
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.v10i1.6875

Abstract

Energy efficiency is a key concern in three-dimensional Wireless Sensor Networks (3D WSNs), where irregular node distribution can shorten network lifetime. This study introduces a novel sector-based clustering protocol that partitions the sensing field azimuthally and selects Cluster Heads (CHs) based on residual energy and distance to each sector’s geometric midpoint. The core innovation lies in an adaptive threshold formula that incorporates both energy and spatial distance, enabling fairer CH rotation and better intra-cluster communication. This approach ensures more balanced energy depletion and improved load distribution. Simulations in a 3D environment showed that the proposed protocol outperformed LEACH-Classic, LEACH-GA, and LEACH-KMeans in FND, HND, LND, residual energy, and throughput. Notably, it improves FND by up to 59.2% compared to LEACH and increases throughput by 37.8%, confirming the benefits of azimuth-based clustering and midpoint-aware CH selection.
Strengthening local aquaculture management in a group of Vannamei shrimp farmers through an MQTT-based early warning system for water quality monitoring Nirwana Haidar Hari; Ahmad Khairul Umam; Ibnu Cipta Ramadhan; Taufiqurrahman; Bagus Edi Fathorrasi; Richa Latifatin Nisa'; Satria Utama Disawa; Ainur Taufikur Rahman Rahman; Moh. Khairil Anwar; Faiq Muntashir; Dorik Prayogik F.
PERDIKAN (Journal of Community Engagement) Vol. 8 No. 1 (2026): In Progress
Publisher : IAIN Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/pjce.v8i1.23261

Abstract

Vannamei shrimp farming is an important source of livelihood and local food production for coastal communities, yet its productivity is highly sensitive to rapid fluctuations in pond water quality. In many small-scale and group-based ponds, monitoring is still conducted manually and intermittently, leading to delayed corrective actions and avoidable production losses. This community engagement program aimed to strengthen local aquaculture management in the Jaring Emas Vannamei shrimp farmer group in Sumenep Regency, Indonesia, through the implementation of an Internet of Things (IoT)-based Early Warning System (EWS) for real-time water quality monitoring. The program was carried out using a participatory and practice-based approach that actively involved the partner group throughout the process, from problem identification and solution design to system installation, practical training, and ongoing assistance. The intervention introduced three ESP32-based IoT nodes equipped with pH, temperature, and dissolved oxygen (DO) sensors, supported by an MQTT communication server and integrated web and mobile applications that provided real-time dashboards, early warning alerts, and more systematic records for feeding and harvesting activities. The evaluation examined system operability, continuity of monitoring, and changes in partners’ operational practices. The findings showed that the system operated continuously and enabled real-time monitoring through both web and mobile access. The partners were increasingly able to interpret data trends, understand alerts, and use this information to take corrective actions, such as adjusting aeration when DO levels declined. Operational record-keeping also became more systematic, while harvest data indicated improved outcomes after system adoption: yields increased from approximately 830–880 kg per pond with grade B quality to approximately 1,190–1,220 kg per pond with grade A quality. Overall, the program strengthened not only technical monitoring capacity but also more preventive, responsive, and data-informed pond management practices at the community level. Future programs should strengthen post-deployment mentoring and develop simple recommendations based on historical data to support sustained adoption and broader impact.
Co-Authors Abdul Aziz, Moch. Ilham Agung Teguh Setyadi Agustien, Lusiana Ahmad Isro'il Ahmad Isro'il Ahmad Isroil Ahmad Walid Hujairi Ainul Yaqin Ainur Taufikur Rahman Rahman Alfan, Aris Alfiani, Faradillah Siska Amanda Fatma Muamalah Amanda Fatma Muamalah Anggita, Sharazita Dyah Anis Kurli, Anis Aris Alfan Bagus Edi Fathorrasi Bahtiar Arifianto, M. Mohamad Zaky Daniswara, Krisna Adilia Deny Fardiansyah Putra Dorik Prayogik F. Elisa Dwi Aprilia Faiq Muntashir Firdausy, Davana Yudista Hari, Nirwana Haidar Hasnah Aulia Zahra Ibnu Cipta Ramadhan Imro’atun Najiyah Indah Saniatur Rohma Irma Wulandari Isro'il, Ahmad Joko Prasetyo Joko Prasetyo Khansa Nadhif Shafa Khoironi, Khoironi Krisna Adilia Daniswara Krisna Adilia Daniswara Lusiana Agustien Moh. Khairil Anwar Muamalah, Amanda Fatma Nihaya Alivia C. Dewi Nirwana Haidar Hari Pukky Tetralian B. N. Pukky Tetralian Bantining Ngastiti Pukky Tetralian Bantining Ngastiti Richa Latifatin Nisa' Richa Latifatin Nisa' Satria Utama Disawa Shahadah, Zaqiyatus Supriyanto Taufiqurrahman Wahyuni, Zuanita May Tri Zaqiyatus Shahadah Zaqiyatus Shahadah