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Traffic Impact Analysis PT. Eastern Pearl Flour Mills – City Side Jl. Nusantara, Makassar Hakzah, Hakzah; Azis, Azis; Andriyani, Andriyani; Yauri Yunus, Ahmad
ASTONJADRO Vol. 12 No. 1 (2023): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v12i1.8372

Abstract

PT. Eastern Pearl Flour Mills – City Side Makassar affects land use changes that have an impact on changes in traffic movement, so traffic impacts analysis is needed. The purpose of this study is to identify the performance of affected roads and intersections in the present and in the next 5 years, to handle traffic problems and conflicts by simulating models without handling (Do Nothing) and with handling (Do Something), analyzing time delays on the U-turns and modeling the origin-destination matrix using the Furness Method. This study uses qualitative and quantitative analysis methods that refer to the Manual Kapasitas Jalan Indonesia (MKJI, 1997) and The Furness method. The results of the analysis of the level of service on the Jl. The archipelago is in fairly good condition with LoS values A to B and DS 0.11 – 0.40 with a speed of 26.60 – 50.00 km/hour, the road performance that has the worst impact occurs at the Tol Reformasi – Jl. Nusantara with a projection for the next 5 years in 2027, where road performance has a LoS E and DS value of 0.88 with a delay time of 19 seconds/pcu. U-turn facility on Jl. Nusantara has an average delay time of 6.16 – 7.82 seconds for one rotating vehicle with a value of < 1 so that there is no queue. The results of the trip distribution analysis using The Furness model obtained the same value of generation and attraction in the second iteration, which means that it is still close to ideal conditions.
MODEL KEMITRAAN DALAM MENINGKATKAN KINERJA DISTRIBUSI BERAS KABUPATEN SIDENRENG RAPPANG: Partnership Model in Improving Rice Distribution Performance in Sidenreng Rappang Regency Razak, Muhammad Rais Rahmat; Hakzah, Hakzah; Thamrin, Nining Triani; Mursalat, Aksal; Junaidi, Junaidi
Jurnal Agrisistem: Seri Sosek dan Penyuluhan Vol. 21 No. 1 (2025): Jurnal Agrisistem: Seri Sosek dan Penyuluhan
Publisher : Unit Penelitian dan Pengabdian Masyarakat Politeknik Pembangunan Pertanian Gowa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52625/j-agr-sosekpenyuluhan.v21i1.450

Abstract

Beras merupakan komoditas strategis yang memainkan peran penting dalam ketahanan pangan dan stabilitas ekonomi, sehingga pengelolaannya membutuhkan transparansi untuk mewujudkan tata kelola pemerintahan yang baik (good governance). Masalah distribusi beras yang tidak merata dan biaya distribusi tinggi masih menjadi tantangan signifikan. Penelitian ini bertujuan untuk menganalisis model kemitraan yang melibatkan Majelis Ekonomi Perserikatan Muhammadiyah dalam meningkatkan kinerja distribusi beras. Metode yang digunakan adalah Structural Equation Modeling - Partial Least Squares (SEM-PLS) untuk memodelkan hubungan antara koordinasi kemitraan, komitmen kemitraan, pembagian risiko, akses pasar, dan dukungan organisasi terhadap kinerja distribusi beras. Pengumpulan data dilakukan melalui kuesioner dan wawancara mendalam dengan 75 petani yang bermitra dengan Majelis Ekonomi Perserikatan Muhammadiyah di Kabupaten Sidenreng Rappang. Hasil penelitian menunjukkan bahwa setiap variabel yang dianalisis, seperti koordinasi kemitraan, komitmen kemitraan, pembagian risiko, dan akses pasar, memiliki pengaruh yang signifikan terhadap kinerja distribusi beras. Koordinasi yang baik antar pemangku kepentingan meningkatkan efisiensi distribusi, sementara komitmen kemitraan memperkuat dukungan organisasi dan mengurangi biaya operasional. Pembagian risiko yang transparan mempercepat distribusi dan mengurangi ketidakpastian dalam rantai pasokan. Akses pasar yang lebih luas memperkuat posisi petani dalam rantai distribusi dan memungkinkan distribusi beras lebih cepat dan stabil. Penting untuk memperkuat kemitraan antara pemangku kepentingan dan meningkatkan infrastruktur serta akses pasar untuk efisiensi distribusi beras.
Good Governance: Patterns of Rice Distribution in Improving Commerce through the Role of the Economic Assembly of Muhammadiyah Association of Sidenreng Rappang Regency Razak, Muhammad Rais Rahmat; Hakzah, Hakzah; Mursalat, Aksal; Thamrin, Nining Triani; AR, Trisnawaty
International Journal of Agriculture System VOLUME 12 ISSUE 1, JUNE 2024
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ijas.v12i1.5609

Abstract

Rice is the main staple food in Indonesia, and Sidenreng Rappang District contributes significantly to rice production in South Sulawesi Province. However, rice distribution in this area faces significant challenges, including long marketing channels and high marketing margins, which disadvantage farmers. The Muhammadiyah United Economic Assembly plays an important role in optimizing distribution channels, providing access to financing to farmers, and facilitating cooperation between farmers and marketing institutions. This research used observation, interview, and documentation methods, with primary and secondary data. The results showed that the marketing margin of rice in Sidenreng Rappang District reached IDR 23,650/kg, with the largest profits enjoyed by wholesalers and retailers. Improving more efficient distribution channels can reduce marketing margins and improve farmers' welfare. Therefore, the role of the Economic Assembly of Muhammadiyah Association is crucial in creating a more efficient trade system and improving the economic welfare of the people in Sidenreng Rappang District.
Studi Perilaku Pengendara Remaja Generasi Z Terhadap Keselamatan Berlalu Lintas di Kabupaten Enrekang. Hakzah, Hakzah; Akbar, Muh.; Didi, Andi Bustan
Sultra Civil Engineering Journal (SCiEJ) Vol 5 No 2 (2024): Sultra Civil Engineering Journal (SCiEJ)
Publisher : Universitas Sulawesi Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54297/sciej.v5i2.658

Abstract

Tingginya minat remaja generasi Z dalam menggunakan transportasi roda dua tidak berimbang kesadaran akan keselamatan berlalu lintas. Penelitian ini bertujuan untuk mengetahui karakteristik remaja pengendara roda dua, tingkat pemahaman, pengaruh pelanggaran, kesalahan, dan penyimpangan terhadap keselamatan berlalu lintas. Survei dilakukan dengan membagikan kusioner kepada 200 orang responden, data yang diperoleh di analisis menggunakan program SPSS dengan model regresi linear berganda. Hasil penelitian responden sebanyak 200 remaja, karakteristik usia 15-20 tahun 56%, jenis kelamin laki-laki 59%, memiliki SIM C 69%, pegalaman berkendara 2-5 tahun 53%, durasi berkendara 1 jam 57%, riwayat kecelakaan 53%, jenis kecelakaan sedang persentase 37%, tidak pernah terkena tilang 54%. Pengetahuan kategori baik 61%. Hasil uji t secara parsial bahwa variabel independen berpengaruh signifikan terhadap variabel dependen dengan signifikan masing-masing variabel independen (0.000 < 0.05). Hasil uji f secara simultan variabel independen berpengaruh signifikan tehadap variabel dependen nilai Fhitung 18,296 > Ftabel 2,651, nilai signifikan (0.000 < 0.05).
PERILAKU PARKIR LIAR MENGGUNAKAN SEM Ramadani, Ahmad; Hakzah, Hakzah; Didi, Andi Bustan
JURNAL TEKNIK SIPIL Vol 14, No 2 (2025): Volume 14 Nomor 2 November 2025
Publisher : Jurusan Teknik Sipil, Fakultas Teknik, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jts.v14i2.44936

Abstract

Jalan Jenderal Sudirman, Parepare City, South Sulawesi Province - Indonesia is a National road with a road type (4/2-T) with a length of about 3 km and an average width of 3.5 m. Along the road there are government offices, companies and housing that have limited parking space so that the road section is used as an illegal parking area. The purpose of this study focuses on the analysis of illegal parking behavior. The type of descriptive quantitative research uses SEM analysis. A total of 200 respondents based on the distribution of questionnaire data were selected randomly. The analysis used variables of attitude, subjective norms, behavioral control, economic factors and social factors. The results of the analysis of the attitude variable, the critical ratio (CR) value towards illegal parking was 2.460 1.97, p - value 0.014 0.05. Subjective norm variable, critical ratio 2.157 1.97 with a p - value of 0.031 0.05. Behavioral control variable n critical ratio value 2.648 1.97 with p - value 0.008 0.05. Economic factor variable n critical ratio value 4.056 1.97 with a p - value of 0.000 0.05. Social factor variable n critical ratio value 2.537 1.97 with p - value 0.011 0.05 . Indicates that all variables used in respondents have an effect on illegal parking along the road.
PRODUKTIVITAS BONGKAR MUAT MODA ANGKUTAN BARANG di PERGUDANGAN KOTA PAREPARE Hidayat, Rahmat; Hakzah Hakzah; Andi Bustan Didi
Jurnal Teknik Sipil dan Arsitektur Vol 31 No 1 (2026): Jurnal Teknik Sipil dan Arsitektur
Publisher : Fakultas Teknik Universitas Tunas Pembangunan Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jtsa.v31i1.5477

Abstract

Logistics operations, particularly loading and unloading (L/U) activities within warehouses, constitute critical components of the supply chain. Parepare City, a logistics hub in Indonesia, faces operational challenges including prolonged waiting times and facility constraints, leading to goods congestion and diminished L/U productivity. This study aims to characterize warehouse facilities and freight transport modes while quantitatively measuring cargo handling productivity. Employing a mixed-methods approach, data were collected via field observations (including timed L/U cycles), questionnaires, and documentation across four mechanized warehouses (three commercial, one steel material facility). Multiple linear regression analysis (SPSS v.26) was applied. Field measurements revealed peak productivity at the steel warehouse (51 pieces/minute, negligible waiting time), contrasting with significant variability and extended waiting periods (e.g., 119 minutes) observed in commercial warehouses. Regression analysis identified the quantity of goods (X1), equipment performance (X2), and L/U time (X3) as statistically significant predictors of productivity (Y). The strongest model (R² = 79.5%) was derived for the steel warehouse. The study concludes that strategic investment in mechanical handling equipment and enhanced scheduling protocols are imperative to mitigate waiting times and elevate overall productivity. Its novelty resides in addressing a significant gap in the regional logistics literature through an empirical focus on Parepare's unique warehouse operations.
PRODUKTIVITAS BONGKAR MUAT MODA ANGKUTAN BARANG di PERGUDANGAN KOTA PAREPARE Hidayat, Rahmat; Hakzah Hakzah; Andi Bustan Didi
Jurnal Teknik Sipil dan Arsitektur Vol 31 No 1 (2026): Jurnal Teknik Sipil dan Arsitektur
Publisher : Fakultas Teknik Universitas Tunas Pembangunan Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jtsa.v31i1.5477

Abstract

Logistics operations, particularly loading and unloading (L/U) activities within warehouses, constitute critical components of the supply chain. Parepare City, a logistics hub in Indonesia, faces operational challenges including prolonged waiting times and facility constraints, leading to goods congestion and diminished L/U productivity. This study aims to characterize warehouse facilities and freight transport modes while quantitatively measuring cargo handling productivity. Employing a mixed-methods approach, data were collected via field observations (including timed L/U cycles), questionnaires, and documentation across four mechanized warehouses (three commercial, one steel material facility). Multiple linear regression analysis (SPSS v.26) was applied. Field measurements revealed peak productivity at the steel warehouse (51 pieces/minute, negligible waiting time), contrasting with significant variability and extended waiting periods (e.g., 119 minutes) observed in commercial warehouses. Regression analysis identified the quantity of goods (X1), equipment performance (X2), and L/U time (X3) as statistically significant predictors of productivity (Y). The strongest model (R² = 79.5%) was derived for the steel warehouse. The study concludes that strategic investment in mechanical handling equipment and enhanced scheduling protocols are imperative to mitigate waiting times and elevate overall productivity. Its novelty resides in addressing a significant gap in the regional logistics literature through an empirical focus on Parepare's unique warehouse operations.
Predicting Speeding Behavior of Long-Haul Freight Truck Drivers Using Machine Learning Models Hakzah, Hakzah; Damayanti, Andi; Misbahuddin; Rahman, Abdul
Civil Engineering Journal Vol. 11 No. 11 (2025): November
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-11-015

Abstract

The behavior of long-haul truck drivers is shaped by the weak enforcement of working-hour rules, tight deadlines, and heavy workloads. Over-dimensioning and overloading practices further increase risks by forcing drivers to handle excessive loads and work for prolonged periods. This study predicts speeding behavior among long-haul freight truck drivers using statistical and machine learning models. Data was collected from 370 respondents at two weigh stations in South Sulawesi, Indonesia, covering eight socio-demographic, economic, and operational predictors. Three models were tested: Binary Logistic Regression (BLR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost). The dataset was balanced and split into 70% training and 30% testing, with performance assessed using accuracy, recall, F1-score, and AUROC. XGBoost delivered the best results, achieving 97.3% accuracy, 93.2% recall, a 96.4% F1-score, and a perfect AUROC of 1.000. RF also showed strong performance with 94.05% accuracy and an AUROC of 0.973, while BLR served as a relevant baseline despite weaker predictions. Key predictors of speeding violations were daily sleep duration, monthly income, and driving experience. This study demonstrates how machine learning can be effectively integrated alongside transportation data under imbalanced conditions, providing evidence-based insights to strengthen freight transport safety.
Perilaku Perjalanan dan Pemilihan Moda Transportasi Berdasarkan Data Demografi Masyarakat Sulawesi Selatan Dhea Sherina Tahir; Hakzah Hakzah; Andriyani
Jurnal Konstruksi Vol 23 No 2 (2025): Jurnal Konstruksi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/konstruksi/v.23-2.2639

Abstract

Tradisi massompe’ atau merantau merupakan bagian penting dari budaya masyarakat Bugis di Sulawesi Selatan yang turut membentuk pola mobilitas dan pemilihan moda transportasi. Penelitian ini bertujuan menganalisis perilaku perjalanan dan preferensi moda transportasi masyarakat Bugis perantau berdasarkan karakteristik demografis. Metode yang digunakan adalah deskriptif kuantitatif melalui survei terhadap 300 responden dari lima wilayah konsentrasi Bugis: Barru, Parepare, Pinrang, Sidenreng Rappang, dan Enrekang. `we`asil penelitian menunjukkan bahwa mayoritas responden berada pada usia produktif dengan distribusi gender yang relatif seimbang. Moda transportasi darat seperti mobil pribadi (40,3%) dan sepeda motor (31%) menjadi pilihan utama karena fleksibilitas dan efisiensi. Tujuan perjalanan didominasi oleh kebutuhan bekerja (49,3%) dan pendidikan (36%), sementara alasan sosial-budaya seperti silaturahmi hanya 15,3%. Faktor demografi seperti usia, pendapatan, dan asal domisili berpengaruh signifikan terhadap pilihan moda. Temuan ini menegaskan bahwa kebijakan transportasi yang kontekstual dan inklusif perlu mempertimbangkan budaya lokal dan kondisi sosial-ekonomi, khususnya dalam mendukung mobilitas masyarakat perantau di wilayah Indonesia Timur.
Pengaruh Cuaca Ekstrem terhadap Perilaku Distribusi Transportasi Barang di Sulawesi Selatan dengan Pendekatan SEM-PLS Risma Yanti; Hakzah; Andriyani
Jurnal Konstruksi Vol 23 No 2 (2025): Jurnal Konstruksi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/konstruksi/v.23-2.2645

Abstract

Cuaca ekstrem menjadi salah satu tantangan utama dalam sistem distribusi logistik, terutama pada jalur angkutan barang non-perkotaan di wilayah Indonesia timur. Penelitian ini bertujuan untuk menganalisis pengaruh kecepatan, waktu tempuh, keselamatan, dan biaya transportasi terhadap perilaku distribusi angkutan barang dengan mempertimbangkan peran cuaca ekstrem. Metode penelitian menggunakan pendekatan kuantitatif dengan Structural Equation Modeling-Partial Least Squares (SEM-PLS), berdasarkan data kuesioner dari 300 pengemudi truk di UPPKB Datae dan Maccopa, Sulawesi Selatan. Hasil analisis menunjukkan bahwa keselamatan (p = 0,021) dan biaya transportasi (p = 0,001) berpengaruh signifikan terhadap perilaku distribusi. Sebaliknya, kecepatan, waktu tempuh, dan cuaca ekstrem tidak memberikan pengaruh signifikan. Nilai koefisien determinasi (R² = 0,01) mengindikasikan bahwa model hanya mampu menjelaskan 1% variasi perilaku distribusi, sehingga terdapat faktor eksternal lain di luar model yang lebih dominan memengaruhi distribusi logistik. Temuan ini menekankan pentingnya strategi peningkatan keselamatan dan efisiensi biaya sebagai prioritas utama dalam menghadapi ketidakpastian cuaca ekstrem, sekaligus mendorong perlunya pengembangan variabel tambahan untuk memperkuat pemodelan perilaku distribusi.