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All Journal REKA RACANA Jurnal Transportasi Jurnal Teknik Sipil Jurnal Jalan Jembatan
Febri Zukhruf
Fakultas Teknik Sipil dan Lingkungan Institut Teknologi Bandung
Civil Engineering, Building, Construction & Architecture Education Transportation

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IMPROVING ROAD NETWORK CONSIDERING RICE SUPPLY CHAIN NETWORK Maulana, Andrean; Sjaruddin, Ade; Frazila, Russ Bona; Zukhruf, Febri
Jurnal Transportasi Vol. 24 No. 1 (2024): Jurnal Transportasi
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jtrans.v24i1.7911.62-73

Abstract

The stakeholders involved in the rice supply chain, who rely on transportation networks, have a shared objective of enhancing their operational efficiency to maximise surplus. This paper presents a model that aims to evaluate the impact of road network improvement on the stakeholders involved in the rice supply chain network. The entities considered as related stakeholders in this context encompass collectors, wholesalers, and retailers, that have a distinct logistics cost structure and profit ratio.The model is developed within the framework of bi-level optimization, in which the upper level decides the road network improvement action and the lower level describes the optimality conditions of the rice supply chain network. The method of successive averages (MSA) is proposed to solve the lower-level problem, where a full enumeration-based approach is conducted in the upper-level problem The case study is situated in the Cugenang District of the Cianjur Regency, an area renowned for its productivity value in the rice farming sector, surpassing other sectors in economic significance. The numerical experiment evaluates three alternatives for road development, with the alternative consisting of solid connectivity to stakeholders yielding the greatest surplus, refer to Alternative 1 with highest surplus investment ratio (0.0000232).
ANALISIS DAMPAK LALU LINTAS AKIBAT DISRUPSI PADA SAAT ACARA BESAR DENGAN MENGGUNAKAN MODEL SIMULASI MIKRO Zukhruf, Febri; Maulana, Andrean; Nugroho, Taufiq Suryo; Purwanti, Oka; Santoso, Satya Ananda; Khaerul Ikhsan, Robby Septiandi
Jurnal Jalan Jembatan Vol 41 No 2 (2024)
Publisher : Direktorat Bina Teknik Jalan dan Jembatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58499/jatan.v41i2.1219

Abstract

This paper discusses traffic performance under major and disruption events on the road network. Traffic on the road network is modelled based on a microsimulation model by considering conditions without disruption, with disruption, and with disruption accompanied by the mitigation schemes. The simulation model used in this paper models the driving behaviour at the micro level that can be used to simulate interactions between vehicles and traffic performance in response to changes in road capacity due to disruption. The model is tested on a road network with significant sports events and potential natural disasters. Traffic flow is estimated based on information from previous events. The results of the microsimulation modelling show that the disruption scenario can reduce road network performance by up to 43%, with total delays that can increase up to five times. In addition, the mitigation schemes to reduce the disruption contribute to maintaining good traffic performance. This paper's framework can potentially be used to assess the impact of traffic disruptions during significant events. Furthermore, it can evaluate alternative strategies to overcome the disruption.
Analisis Deteriorasi Perkerasan Jalan Tol Terdampak Banjir dengan Model Markov Chain Transisi Homogen dan Non-Homogen Saputro, Danang; Frazila, Russ Bona; Zukhruf, Febri
Jurnal Teknik Sipil Vol 32 No 2 (2025): Jurnal Teknik Sipil - Edisi Agustus
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2025.32.2.13

Abstract

Abstrak Model dan analisis yang mampu meramalkan dampak banjir terhadap kinerja perkerasan jalan raya, sangat penting untuk mengantisipasi penurunan kekuatan struktur perkerasan pasca terjadinya banjir. Model probabilistik, seperti Markov Chain, dianggap lebih realistis daripada model deterministik seperti HDM-III (Patterson), yang kurang sesuai untuk menilai perkerasan jalan tol yang terdiri dari perkerasan kaku dengan lapisan blacktop AC-WC. Penelitian ini bertujuan untuk membandingkan penggunaan model Markov Chain dengan MPT Homogen dan MPT Non-Homogen dalam menganalisis deteriorasi perkerasan jalan tol khususnya jika terdapat kejadian seperti banjir sehingga akan diketahui MPT mana yang lebih sesuai untuk digunakan dalam kondisi tersebut. Analisis yang dilakukan pada jalan tol Jakarta-Cikampek dan Padaleunyi selama periode tahun 2020-2023 menghasilkan nilai MAPE model Markov Chain dalam kategori akurasi layak/wajar sebesar 25.75% untuk MPT Homogen dan 22.50% untuk MPT Non Homogen. Berdasarkan hal tersebut, model Markov Chain dengan MPT Non Homogen lebih tepat digunakan untuk memodelkan deteriorasi perkerasan jalan tol selama periode terjadinya kejadian khusus misalnya banjir dibandingkan dengan MPT Homogen. Penelitian ini juga menunjukkan perbedaan pola program pemeliharaan (frekuensi dan tingkat penanganan) di mana model Markov Chain menghasilkan luasan proyeksi kebutuhan program pemeliharaan berupa rehabilitasi mayor tahun 2024-2028 lebih besar dibandingkan rencana jangka panjang yang telah disusun menggunakan model deteriorasi IRI HDM-III (Patterson). Kata-kata Kunci: Banjir, Deteriorasi, Markov Chain, Model Performa Perkerasan. Abstract The loss in pavement structural strength following flooding must be predicted using models and analysis that can forecast how flooding would affect highway pavement performance.  When evaluating highway pavements made up of stiff pavements with AC-WC blacktop layers, probabilistic models like Markov Chain are seen to be more realistic than deterministic models like HDM-III (Patterson). This study compares the application of Markov Chain models with Homogeneous and Non-Homogeneous TPM in assessing toll road pavement deterioration, particularly during floods, in order to determine whether TPM is more suited for usage in these circumstances. The analysis of the 2020–2023 Jakarta–Cikampek and Padaleunyi toll roads produced a MAPE value for the Markov Chain model in the acceptable/reasonable accuracy category of 22.50% for the Non-Homogeneous TPM and 25.75% for the Homogeneous TPM. This suggests that, in contrast to the Homogeneous TPM, the Markov Chain model with Non-Homogeneous TPM is more suited for simulating pavement deterioration on toll roads during times of unusual occurrences, such floods. Additionally, this study illustrates differences in maintenance program patterns (frequency and treatment level), with the Markov Chain model generating a larger projection of maintenance program needs in the form of major rehabilitation for 2024-2028 than the long-term plan which was created using the IRI HDM-III (Patterson) deterioration model. Keywords: Flood, Deterioration, Markov Chain, Pavement Performance Model
Commuter Travelers Perception of Toll Roads During the Ramp Up Period in Indonesia Dharmawan, Weka Indra; Sjafruddin, Ade; Frazila, Russ Bona; Zukhruf, Febri
Jurnal Teknik Sipil Vol 30 No 3 (2023): Jurnal Teknik Sipil
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2023.30.3.2

Abstract

Abstract Studies on the travelers’ perceptions to toll roads during the ramp-up period are still rare, whereas they are important to assess toll road investment. The paper aims to establish a first approach in modeling the perceptions of individual commuter travelers during the learning process and adaptation to newly operating toll roads. Particularly, efforts to identify the attitudes and behaviors of individual commuter travelers towards interurban toll roads that connect between developing agglomeration areas. The data is collected through revealed and stated preference surveys using a snowball sampling technique with social media applications. Then we develop a binary logit model to explore commuter travelers’ perceptions to toll road during ramp-up period, and the results indicate that when doing commuter travel activities prefer to use the toll road, with the attributes that most influence on decision making respectively, travel time, travel costs, toll gate distance, travel distance, traveler's age, scenic beauty and the frequency of using toll roads. The paper also showed that the positive preference of toll roads during the ramp-up period is not always related to traffic congestion such as in dense urban areas, the presence of sightseeing traffic is very potential. Keywords: Route choice behavior, binary logit model, toll road, ramp-up period Abstrak Studi mengenai persepsi masyarakat terhadap jalan tol selama periode ramp-up masih jarang dilakukan, hal ini penting untuk menilai kelayakan investasinya. Makalah ini bertujuan untuk menetapkan pendekatan pertama dalam memodelkan persepsi individu pelaku perjalanan komuter selama periode tersebut sebagai proses belajar dan beradaptasi terhadap jalan tol yang baru beroperasi. Khususnya, upaya untuk mengidentifikasi sikap dan perilaku individu pelaku perjalanan terhadap jalan tol antar kota penghubung kawasan aglomerasi yang sedang berkembang. Pengumpulan data dilakukan melalui survei revealed dan stated preference dengan teknik bola salju (snowball sampling) yang menggunakan media sosial. Kemudian kami mengembangkan model logit-biner untuk mengeksplorasi persepsi penumpang komuter terhadap jalan tol pada periode ramp-up dan hasilnya menunjukkan bahwa ketika melakukan aktivitas perjalanan, pelaku perjalanan komuter lebih memilih menggunakan jalan tol dengan atribut yang paling berpengaruh terhadap pengambilan keputusan masing-masing adalah, waktu tempuh, biaya perjalanan, jarak gerbang tol, jarak tempuh, umur penumpang, keindahan pemandangan dan frekuensi penggunaan jalan tol. Makalah ini juga menunjukkan bahwa preferensi positif terhadap jalan tol pada periode ramp-up tidak selalu terkait dengan kemacetan lalu lintas seperti di wilayah perkotaan yang padat, keberadaan lalu lintas tamasya sangat potensial mempengaruhi. Kata-kata kunci: Perilaku pemilihan rute, model logit-biner, jalan tol, periode ramp-up
Analisis Perilaku Keputusan Konsumen Belanja Daring Barang Segar Mempertimbangkan Harga Barang, Jarak dan Ongkos Kirim Apriliani, Adien Sekar; Zukhruf, Febri; Nugroho, Taufiq Suryo; Putra, Fathiro Hutama Reksa
RekaRacana: Jurnal Teknik Sipil Vol 11, No 3: November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaracana.v11i3.251

Abstract

ABSTRAKBelanja daring kini telah menjadi fenomena yang semakin marak diberbagai lapisan masyarakat karena menawarkan kemudahan, kecepatan, pilihan dan pembanding yang beragam. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi konsumen dalam memilih toko berbelanja daring untuk komoditas barang segar dengan mempertimbangkan ongkos kirim, harga barang, dan jarak kirim. Teknik pengumpulan data pada penelitian ini menggunakan dua pendekatan yaitu Stated Preference (SP) melalui penyebaran kuesioner kepada responden di berbagai wilayah Indonesia. Data dianalisis menggunakan pendekatan model logistik yaitu model binary logit untuk mengestimasi probabilitas konsumen dalam pemilihan alternatif toko online. Hasil penelitian menunjukkan bahwa ongkos kirim merupakan faktor yang paling signifikan dan sensitif dalam memengaruhi keputusan konsumen dalam memilih toko online, meskipun atribut ini hanya terlihat pada kelompok model tertentu. Sebaliknya, jarak pengiriman dan harga barang secara umum tidak menunjukkan pengaruh yang sensitif terhadap pilihan toko online.Kata kunci: belanja daring, produk segar, harga barang, ongkos kirim, binary logit ABSTRACTShopping online has emerged as a prevalent phenomenon throughout several societal seg-ments, propelled by its convenience, rapidity, extensive product assortment, and simplicity in price comparison. This study seeks to examine the factors that affect consumers' selection of online retailers for their purchases, concentrating on variables such as shipping costs, product prices, and delivery distances. Data collection is executed via Stated Preference (SP) methodologies via questionnaires disseminated to respondents in Indonesia. The data were analysed employing a logistic regression methodology, specifically the binary logit model, to estimate consumer choice probabilities across various online retailers. The find-ings indicate that delivery cost is the most critical and sensitive variable influencing con-sumer choices when picking an online retailer, albeit this was only significant in certain model groups. In contrast, delivery distance and product pricing typically exerted no influ-ence on online retailer selection. The findings underscore the strategic significance of con-trolling shipping expenses to enhance the competitiveness of online retailers, while suggest-ing that the impacts of distance and pricing may differ based on product type and distinct consumer attributes.Keywords: online shopping, fresh product, product price, shipping cost, binary logit  
Co-Authors Ade Sjafruddin Aine Kusumawati Apriliani, Adien Sekar Burhani, Jzolanda Tsavalista Estiyani Windra Kusumowardani Ferry Rusgiyarto Ferry Rusgiyarto Gunawan Wicaksono Harun Al Rasyid S. Lubis, Harun Al Rasyid S. Khaerul Ikhsan, Robby Septiandi Maulana, Andrean Muhammad Farda Nugroho, Taufiq Suryo Purwanti, Oka Putra, Fathiro Hutama Reksa Russ Bona Frazila Russ Bona Frazila Samantha Ag, Rafika Almira Santoso, Satya Ananda Saputro, Danang Sjaruddin, Ade Sony S . Wibowo Sony S . Wibowo Sony Sulaksono Wibowo Weka Indra Dharmawan Wicaksono, Gunawan